Skip to main content
Glama

x402-markdown-table

Markdown Table: Extract tables from Markdown into structured JSON — list of tables, each with headers and row objects. 🆓 5 free trial calls per signed wallet

Input Schema

NameRequiredDescriptionDefault
mdNo
textNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / md / description
      Removed value: -"Md to process"
    • removedInput schema / properties / text / description
      Removed value: -"Text to process"
  2. Changed1 schema field changed
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
  3. First observed

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations supplied, the description carries the behavior burden, and it does disclose the output structure (array of tables with headers and row objects), which is genuinely useful. It omits what happens with malformed or table-free markdown, input size limits, and how the paid/free-call metering interacts with a call, so disclosure is partial.

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?

The core sentence is front-loaded and efficient, and the output shape is packed into the same sentence. The trailing pricing emoji line is secondary but short enough not to bloat the definition.

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

Completeness2/5

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

For a tool with no annotations, no output schema, and two undocumented optional input parameters, the description should clarify the input contract. It explains the return shape but leaves the md-vs-text ambiguity entirely unresolved, so an agent could pass the wrong field.

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?

Two parameters ('md' and 'text') have 0% schema description coverage and neither is required, yet the description says nothing about which one to populate or how they differ. This ambiguity is exactly what the description should resolve and it does not.

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?

The description states a specific verb and resource ('Extract tables from Markdown') and even sketches the return shape ('list of tables, each with headers and row objects'). It does not distinguish itself from near-neighbours such as x402-html-table-extract or x402-text-table, so an agent cannot rule out the wrong sibling from this text alone.

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 when-not-to-use, and no named alternative. The only contextual sentence is the pricing note about 5 free trial calls, which tells the agent nothing about selecting this tool over the many other markdown/table utilities.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources