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Markdown Table Generator

MarkdownTableGenerator
Read-only

Markdown Table Generator: Markdown Table Generator converts structured data into properly formatted markdown tables with customizable column alignment. (Cost: 1 credit)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "headers": "<headers>",
      "rows": "<rows>"
    },
    "name": "MarkdownTableGenerator"
  }
}

Input Schema

NameRequiredDescriptionDefault
rowsYesArray of row arrays containing cell values
headersYesArray of column header names
alignmentNoColumn alignment: left, center, right, or array of alignments per columnleft

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint and destructiveHint=false, so the safety profile is covered. The description usefully adds the "Cost: 1 credit" consumption trait, which annotations do not express, but says nothing about how input is validated or how ragged rows / pipe characters are handled.

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

Conciseness3/5

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

Very short, but it wastes space restating the tool name twice ("Markdown Table Generator: Markdown Table Generator ...") before reaching the actual content. The credit-cost note is an efficient addition; the duplication is not.

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 three-parameter transformation tool with full schema coverage and an output schema, the description covers the essentials. It leaves unstated how mismatched header/row widths or special characters are handled, but nothing blocking for a correct call.

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 headers, rows, and alignment are fully documented in the schema. The description's mention of customizable column alignment merely echoes the alignment parameter rather than adding format or constraint detail beyond it.

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 and outcome: converts structured data into properly formatted markdown tables, with customizable column alignment. This is clear enough to distinguish it from unrelated siblings, though it never names the nearest alternatives (ChartGenerator, MarkdowntoHTML) it might be confused with.

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 when-to-use or when-not-to-use guidance is given, and no alternative is mentioned. The agent must infer from the name alone that this should be chosen over MarkdowntoHTML or ChartGenerator.

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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