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x402-matrix-shape

Matrix Shape: Returns a matrix's row and column counts as rows and cols 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
mNo
matrixNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / m / description
      Removed value: -"M to process"
    • removedInput schema / properties / matrix / description
      Removed value: -"Matrix to process"
  2. Changed2 schema fields changed
    • addedInput schema / properties / m
      Added value: +{
      +  "description": "M to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / matrix
      Added value: +{
      +  "description": "Matrix to process",
      +  "type": "string"
      +}
  3. First observed

TDQS

C2.8/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden. It does usefully disclose the commercial model ('5 free trial calls per signed wallet'), but says nothing about the expected input format (m vs matrix, string encoding), error behavior on malformed matrices, or whether both parameters are mutually exclusive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded and short: purpose first, then the trial/pricing note. The emoji and promotional tail are not strictly necessary, but the core statement is efficient and easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description helpfully names the return values (rows and cols), covering the response side. However, for a tool with two undocumented optional string parameters, the input contract and sibling differentiation are missing, so it is only minimally complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and neither of the two parameters (m, matrix) has a description or required flag. The description implies a single matrix input but never clarifies how 'm' relates to 'matrix', nor the string encoding of the matrix, leaving the most critical call-format detail undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete verb (Returns) and resource (a matrix's row and column counts), and names the outputs (rows, cols). However, it never differentiates itself from near-identical siblings like x402-matrix-rows, x402-matrix-cols, or x402-matrix-is-square, which an agent would need to disambiguate against.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as x402-matrix-rows / x402-matrix-cols. The only extra information is a payment/trial note, which does not help the agent decide whether this is the right tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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