← The evidence ledger
Evidence row 579449
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint fb3e18d5-66f9-43d3-8375-970259f743cb
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 0be95f5742e2a0f8d0a20c413c76b5b3a73664fa67cc82d3bf50df460754516b
- Leaf
- 0x8d7fdf0921990e2abc9cd4b2850117572f319475a4c838498e3dfd9138d96b99
What was observed
{
"count": 17,
"tools": [
{
"description": "Safely evaluate mathematical expressions with support for basic operations and math functions.\n\nSupported operations: +, -, *, /, **, ()\nSupported functions: sin, cos, tan, log, sqrt, abs, pow",
"inputSchema": {
"additionalProperties": false,
"properties": {
"expression": {
"description": "Mathematical expression to evaluate. Supports +, -, *, /, **, and math functions (sin, cos, sqrt, log, etc.). Example: '2 * sin(pi/4) + sqrt(16)'",
"maxLength": 500,
"type": "string"
}
},
"required": [
"expression"
],
"type": "object"
},
"name": "calc_expression"
},
{
"description": "Calculate compound interest for investments.\n\nFormula: A = P(1 + r/n)^(nt)\nWhere:\n- P = principal amount\n- r = annual interest rate (as decimal)\n- n = number of times interest compounds per year\n- t = time in years",
"inputSchema": {
"additionalProperties": false,
"properties": {
"compounds_per_year": {
"default": 12,
"description": "Compounding frequency per year (must be > 0): 12=monthly, 365=daily",
"exclusiveMinimum": 0,
"type": "integer"
},
"principal": {
"description": "Initial investment amount in dollars (must be > 0), e.g. 1000.0",
"exclusiveMinimum": 0,
"type": "number"
},
"rate": {
"description": "Annual interest rate as decimal 0.0-1.0 (e.g. 0.05 = 5%). If entering a percentage, divide by 100 first.",
"maximum": 1,
"minimum": 0,
"type": "number"
},
"time": {
"description": "Investment time in years (must be > 0), e.g. 10.0",
"exclusiveMinimum": 0,
"type": "number"
}
},
"required": [
"principal",
"rate",
"time"
],
"type": "object"
},
"name": "calc_interest"
},
{
"description": "Perform statistical calculations on a list of numbers.\n\nAvailable operations: mean, median, mode, std_dev, variance",
"inputSchema": {
"additionalProperties": false,
"properties": {
"numbers": {
"description": "List of numbers to compute descriptive statistics on. Example: [1.0, 2.5, 3.0, 4.5, 5.0]",
"items": {
"type": "number"
},
"maxItems": 10000,
"type": "array"
},
"operation": {
"description": "Statistical operation to perform. Allowed values: mean, median, mode, std_dev, variance",
"examples": [
"mean",
"median",
"mode",
"std_dev",
"variance"
],
"type": "string"
}
},
"required": [
"numbers",
"operation"
],
"type": "object"
},
"name": "calc_statistics"
},
{
"description": "Convert between different units of measurement.\n\nSupported unit types:\n- length: mm, cm, m, km, in, ft, yd, mi\n- weight: g, kg, oz, lb\n- temperature: c, f, k (Celsius, Fahrenheit, Kelvin)",
"inputSchema": {
"additionalProperties": false,
"properties": {
"from_unit": {
"description": "Source unit abbreviation. Valid units depend on unit_type: length (mm, cm, m, km, in, ft, yd, mi), weight (g, kg, oz, lb), temperature (c, f, k)",
"examples": [
"m",
"kg",
"c"
],
"type": "string"
},
"to_unit": {
"description": "Target unit abbreviation. Valid units depend on unit_type: length (mm, cm, m, km, in, ft, yd, mi), weight (g, kg, oz, lb), temperature (c, f, k)",
"examples": [
"ft",
"lb",
"f"
],
"type": "string"
},
"unit_type": {
"description": "Unit category: length, weight, or temperature",
"examples": [
"length",
"weight",
"temperature"
],
"type": "string"
},
"value": {
"description": "Numeric value to convert, e.g., 100.0",
"type": "number"
}
},
"required": [
"value",
"from_unit",
"to_unit",
"unit_type"
],
"type": "object"
},
"name": "calc_units"
},
{
"description": "Calculate the determinant of a square matrix.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"matrix": {
"description": "2D list of numbers representing a square matrix. Each inner list is a row. Example: [[1, 2], [3, 4]]",
"items": {
"items": {
"type": "number"
},
"type": "array"
},
"maxItems": 10000,
"type": "array"
}
},
"required": [
"matrix"
],
"type": "object"
},
"name": "matrix_determinant"
},
{
"description": "Calculate the eigenvalues of a square matrix.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"matrix": {
"description": "2D list of numbers representing a square matrix. Each inner list is a row. Example: [[4, 2], [1, 3]]",
"items": {
"items": {
"type": "number"
},
"type": "array"
},
"maxItems": 10000,
"type": "array"
}
},
"required": [
"matrix"
],
"type": "object"
},
"name": "matrix_eigenvalues"
},
{
"description": "Calculate the inverse of a square matrix.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"matrix": {
"description": "2D list of numbers representing a square matrix. Each inner list is a row. Example: [[1, 2], [3, 4]]",
"items": {
"items": {
"type": "number"
},
"type": "array"
},
"maxItems": 10000,
"type": "array"
}
},
"required": [
"matrix"
],
"type": "object"
},
"name": "matrix_inverse"
},
{
"description": "Multiply two matrices (A × B).",
"inputSchema": {
"additionalProperties": false,
"properties": {
"matrix_a": {
"description": "2D list of numbers representing the first matrix. Each inner list is a row. Example: [[1, 2], [3, 4]]",
"items": {
"items": {
"type": "number"
},
"type": "array"
},
"maxItems": 10000,
"type": "array"
},
"matrix_b": {
"description": "2D list of numbers representing the second matrix. Each inner list is a row. Example: [[5, 6], [7, 8]]",
"items": {
"items": {
"type": "number"
},
"type": "array"
},
"maxItems": 10000,
"type": "array"
}
},
"required": [
"matrix_a",
"matrix_b"
],
"type": "object"
},
"name": "matrix_multiply"
},
{
"description": "Transpose a matrix (swap rows and columns).",
"inputSchema": {
"additionalProperties": false,
"properties": {
"matrix": {
"description": "2D list of numbers representing the matrix. Each inner list is a row. Example: [[1, 2, 3], [4, 5, 6]]",
"items": {
"items": {
"type": "number"
},
"type": "array"
},
"maxItems": 10000,
"type": "array"
}
},
"required": [
"matrix"
],
"type": "object"
},
"name": "matrix_transpose"
},
{
"description": "Create a box plot for comparing distributions (requires matplotlib).",
"inputSchema": {
"additionalProperties": false,
"properties": {
"color": {
"anyOf": [
{
"maxLength": 100,
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Box color (name or hex code, e.g., 'blue', '#2E86AB')"
},
"data_groups": {
"description": "List of data groups to compare, e.g., [[1, 2, 3], [4, 5, 6]]",
"items": {
"items": {
"type": "number"
},
"type": "array"
},
"maxItems": 100,
"type": "array"
},
"group_labels": {
"anyOf": [
{
"items": {
"type": "string"
},
"maxItems": 100,
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"description": "Labels for each group, e.g., ['Group A', 'Group B']"
},
"title": {
"default": "Box Plot",
"description": "Chart title string, e.g., 'Distribution Comparison'",
"maxLength": 100,
"type": "string"
},
"y_label": {
"default": "Values",
"description": "Y-axis label, e.g., 'Values'",
"maxLength": 100,
"type": "string"
}
},
"required": [
"data_groups"
],
"type": "object"
},
"name": "plot_box_plot"
},
{
"description": "Generate and plot synthetic financial price data (requires matplotlib).\n\nCreates realistic price movement patterns for educational purposes.\nDoes not use real market data.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"color": {
"anyOf": [
{
"maxLength": 100,
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Line color (name or hex code, e.g., 'blue', '#2E86AB')"
},
"days": {
"default": 30,
"description": "Number of days to generate, e.g., 30",
"maximum": 1000,
"minimum": 2,
"type": "integer"
},
"start_price": {
"default": 100,
"description": "Starting price value, e.g., 100.0",
"type": "number"
},
"trend": {
"default": "bullish",
"description": "Market trend direction",
"examples": [
"bullish",
"bearish",
"volatile"
],
"type": "string"
}
},
"type": "object"
},
"name": "plot_financial_line"
},
{
"description": "Generate mathematical function plots (requires matplotlib).",
"inputSchema": {
"additionalProperties": false,
"properties": {
"expression": {
"description": "Mathematical expression to plot, e.g., \"x**2\" or \"sin(x)\". Must be <= MAX_EXPRESSION_LENGTH characters. Example: \"x**2\"",
"maxLength": 500,
"type": "string"
},
"num_points": {
"default": 100,
"description": "Number of sample points to plot along x_range, e.g., 100",
"maximum": 10000,
"minimum": 2,
"type": "integer"
},
"x_range": {
"description": "X-axis range as (min, max), e.g., (-5.0, 5.0)",
"maxItems": 2,
"minItems": 2,
"prefixItems": [
{
"type": "number"
},
{
"type": "number"
}
],
"type": "array"
}
},
"required": [
"expression",
"x_range"
],
"type": "object"
},
"name": "plot_function"
},
{
"description": "Create statistical histograms (requires matplotlib).",
"inputSchema": {
"additionalProperties": false,
"properties": {
"bins": {
"default": 20,
"description": "Number of histogram bins, e.g., 20",
"type": "integer"
},
"data": {
"description": "List of numeric values to bin, e.g., [1.0, 2.0, 2.5, 3.0]",
"items": {
"type": "number"
},
"maxItems": 10000,
"type": "array"
},
"title": {
"default": "Data Distribution",
"description": "Chart title string, e.g., 'Data Distribution'",
"maxLength": 100,
"type": "string"
}
},
"required": [
"data"
],
"type": "object"
},
"name": "plot_histogram"
},
{
"description": "Create a line chart from data points (requires matplotlib).",
"inputSchema": {
"additionalProperties": false,
"properties": {
"color": {
"anyOf": [
{
"maxLength": 100,
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Line color (name or hex code, e.g., 'blue', '#2E86AB')"
},
"show_grid": {
"default": true,
"description": "Whether to display grid lines",
"type": "boolean"
},
"title": {
"default": "Line Chart",
"description": "Chart title string, e.g., 'Squares'",
"maxLength": 100,
"type": "string"
},
"x_data": {
"description": "X-axis data points, e.g., [1, 2, 3, 4]",
"items": {
"type": "number"
},
"maxItems": 10000,
"type": "array"
},
"x_label": {
"default": "X",
"description": "X-axis label, e.g., 'Time'",
"maxLength": 100,
"type": "string"
},
"y_data": {
"description": "Y-axis data points, e.g., [1, 4, 9, 16]",
"items": {
"type": "number"
},
"maxItems": 10000,
"type": "array"
},
"y_label": {
"default": "Y",
"description": "Y-axis label, e.g., 'Distance'",
"maxLength": 100,
"type": "string"
}
},
"required": [
"x_data",
"y_data"
],
"type": "object"
},
"name": "plot_line_chart"
},
{
"description": "Create a scatter plot from data points (requires matplotlib).",
"inputSchema": {
"additionalProperties": false,
"properties": {
"color": {
"anyOf": [
{
"maxLength": 100,
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Point color (name or hex code, e.g., 'blue', '#2E86AB')"
},
"point_size": {
"default": 50,
"description": "Scatter point size in points^2, e.g., 50",
"type": "integer"
},
"title": {
"default": "Scatter Plot",
"description": "Chart title string, e.g., 'Correlation Study'",
"maxLength": 100,
"type": "string"
},
"x_data": {
"description": "X-axis data points, e.g., [1, 2, 3, 4]",
"items": {
"type": "number"
},
"maxItems": 10000,
"type": "array"
},
"x_label": {
"default": "X",
"description": "X-axis label, e.g., 'Variable X'",
"maxLength": 100,
"type": "string"
},
"y_data": {
"description": "Y-axis data points, e.g., [1, 4, 9, 16]",
"items": {
"type": "number"
},
"maxItems": 10000,
"type": "array"
},
"y_label": {
"default": "Y",
"description": "Y-axis label, e.g., 'Variable Y'",
"maxLength": 100,
"type": "string"
}
},
"required": [
"x_data",
"y_data"
],
"type": "object"
},
"name": "plot_scatter"
},
{
"description": "Load previously saved calculation result from workspace.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"name": {
"description": "Name of the variable to load from workspace, e.g., 'circle_area'",
"type": "string"
}
},
"required": [
"name"
],
"type": "object"
},
"name": "workspace_load"
},
{
"description": "Save calculation to persistent workspace (survives restarts).",
"inputSchema": {
"additionalProperties": false,
"properties": {
"expression": {
"description": "The mathematical expression that was evaluated. Example: 'pi * r**2'",
"maxLength": 500,
"type": "string"
},
"name": {
"description": "Variable name for the saved calculation. Used to retrieve it later. Example: 'circle_area'",
"maxLength": 50,
"type": "string"
},
"result": {
"description": "Numeric result of evaluating the expression, e.g., 78.54",
"type": "number"
}
},
"required": [
"name",
"expression",
"result"
],
"type": "object"
},
"name": "workspace_save"
}
]
}What the leaf hashes
{"body":"0be95f5742e2a0f8d0a20c413c76b5b3a73664fa67cc82d3bf50df460754516b","id":579449,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793143426418789,"prev":null,"subject":"fb3e18d5-66f9-43d3-8375-970259f743cb","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).
- 0x8d7fdf69a0c15e0a3ce67da8a38898cfb011b0eac34a503110e2c4953760dabc
- 0xc0d20a35ab8326235999e47f7e60891155af81fc2bac71b8ed7cf4dddd072c2d
- 0xc5ac2d74fbb4a76b525bd160d2d7c6235fa26916f682892e895e155183c88368
- 0x872c1c95fbae3d0a1d5b25c4b58a175393bacf2b7d2274c07f89faed370c0adf
- 0x73e78f8a8d8a5927e1cc12cd3fc474b57299417ceef54494bb7588694b93b54c
- 0x8a53cdef41077ddc53e1f846e382d9a482a678b9ac76a52504442966b3e93c0c
- 0x7d8b208d8ccb2e2574b47f270616842cffbde2632bd9505f1427fff2af8d3f47
- 0x1b3731bafd942710306af52842dec864f610640b7a664a730c584bb72b9722a5
- 0x734ccdcc831d3211f887615c64bae8cc775998b745d41b3b1c6e9dbd92816198
- 0x2f7f7aad45aa10cfc35961f0b32e2d0c82d403432cac88a93d7ed4522d2607e0
- 0x9db4db43425eb15434c6ecabdea3edcc63d5347d28ff18fda137c7d140c12b36
- 0xe0e69ccf3eae9f1603c5f7e4a938a5ebe41708a9b4f6cb15a530b2e2aa69d8a0
- 0xea3d566bf95ca7a3a7f6de9c4f77180bd8c5ffd160486a27d870e8a2fb6d0b9e
- 0x06e3b43165f5b3c31d850bc32f20b2e25b844564c4e042c141b9748c26a5a600
- 0xb4f7223140c8a36cb87a63d77cf617086d9968dc4658f03e102571ebe06e9ed6
- 0xfecf3d4646dd4984a13dd715499e842c3fde63692336d97394c2bfd8e877ca5d
- 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
- 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
- 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4