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cartek99

MCP AI Docs

by cartek99

list_sections

List documentation sections from Anthropic and Gemini docs, filterable by platform, with section names, page counts, and subsections.

Instructions

List available documentation sections organized by platform. Shows section names, page counts, and subsections.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformNoFilter by documentation platformall

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals the output content (section names, page counts, subsections) and the read-only 'List/Shows' nature of the operation, but does not disclose anything about default behavior when platform is omitted, error conditions, or ordering/organization details.

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?

Two tight sentences with zero filler. The core purpose is front-loaded, and the second sentence lists the returned fields. Every word 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?

For a simple 1-optional-parameter, no-output-schema tool, the description covers the essentials: what is listed and what is returned. It is slightly incomplete in not stating the default scope (all platforms) explicitly in prose, though the schema's default covers that gap.

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%, with the platform parameter fully documented via enum and 'Filter by documentation platform'. The description's 'organized by platform' phrase adds mild semantic context linking the parameter to output organization, but nothing beyond what the schema already conveys. A baseline 3 is appropriate.

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 ('List') and resource ('available documentation sections'), with a scope qualifier ('organized by platform') and the concrete output contents. It is distinguishable from siblings like search_docs and fetch_page by the listing behavior, though it does not explicitly name a sibling to differentiate itself from.

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?

Usage is implied rather than stated: an agent can infer this is the browse/explore tool to call before searching or fetching specific pages. However, there is no explicit guidance on when to choose list_sections over search_docs, nor any exclusions or prerequisites.

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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