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x402-markdown-table

Markdown Table: Extract tables from Markdown into structured JSON — list of tables, each with headers and row objects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mdNoMd to process
textNoText to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full disclosure burden. It does add genuine value by describing the return structure (list of tables, each with headers and row objects), which substitutes for the absent output schema. However, it says nothing about behavior on malformed tables, tables without headers, or multiple/nested tables.

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

Conciseness5/5

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

A single dense sentence that leads with the action and immediately states the output contract. Zero filler; every clause earns its place.

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

Completeness4/5

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

With no annotations and no output schema, the description does an adequate job by naming both purpose and return shape. The remaining gap is the unresolved md-vs-text parameter ambiguity and no mention of edge cases, but for a simple two-param text tool this is close to complete.

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

Parameters3/5

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

Schema description coverage is 100%, so the baseline is 3. The schema descriptions are tautological ('Md to process', 'Text to process'), and the description does not resolve the genuine ambiguity of why both `md` and `text` exist or which one to supply — a real gap the description could have closed.

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 specific verb (extract), a specific resource (tables from Markdown), and the output shape (list of tables with headers and row objects). It does not, however, differentiate itself from close siblings such as x402-html-table-extract or x402-text-table, which an agent could plausibly confuse it with.

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

Usage Guidelines3/5

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

The Markdown input is named, so the intended usage context is implied, but there is no explicit when-to-use, when-not-to-use, or routing to an alternative sibling. An agent must infer that Markdown input (vs HTML or plain text) is the selecting condition.

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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