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json_to_markdown_table

Convert list of dicts or list of lists to Markdown table. Returns: {table, rows, columns}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
headersNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Minimal behavioral disclosure; only mentions conversion and return fields. No annotations provided, so description should cover edge cases or side effects, but it does not.

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?

Extremely concise; essential information front-loaded. Every sentence adds value, no redundancy.

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?

For a simple conversion tool with 2 params and no output schema, description provides basic functionality and return structure. Lacks examples or handling of edge cases, but sufficient for straightforward use.

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?

Description partially covers `data` parameter by specifying acceptable types (list of dicts or lists), but `headers` parameter is not explained. With 0% schema coverage, description partially compensates.

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?

Clearly states the tool converts lists to Markdown table. Distinguishes from sibling tools focused on HTML processing, but lacks elaboration on the output format.

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?

No guidance on when to use or not use this tool versus alternatives. Missing context on prerequisites or constraints.

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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