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GroundQuote

Fetch a documentation page

fetch

Returns the full text of a documentation entry by id from search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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 communicate the return payload ('full text'), which implies a read-only retrieval, but says nothing about error behavior for invalid ids, permissions, rate limits, or the size/format of the returned text. Adequate but with clear gaps for a tool with zero annotation coverage.

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 sentence, front-loaded with the verb and return value, with zero filler. Nothing could be removed without losing meaning.

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?

For a one-parameter, non-nested tool with no output schema, the description covers purpose, input provenance, and what comes back. The remaining gap is failure handling for bad ids and any note on the returned text's scope, which keeps it from being fully complete in the absence of annotations.

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 0%, so the schema only says 'id' is a string. The description compensates on the most important point: the id originates from a prior 'search' call, which is exactly the semantic an agent needs. It still gives no format, example, or validity constraints for the id, so compensation is partial.

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 ('Returns') and resource ('full text of a documentation entry'), with the key distinguishing detail that the entry is addressed by an id obtained from search. That separates it from the sibling 'search' tool, which locates entries rather than returning them. It falls short of 5 only because the name 'fetch' alone is generic and the differentiation is implied rather than stated.

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 phrase 'id from search' implies the intended two-step workflow (search first, then fetch), which is useful guidance. However, it never explicitly says when to use this instead of 'search', nor what to do if the id is unknown or the entry is missing. Usage is inferable but not spelled out.

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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