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OpenGerwin

mcp-google-agent-platform-docs

by OpenGerwin

list_sections

List all documentation sections with descriptions and page counts from Google Agent Platform or Vertex AI sources, providing a structured overview.

Instructions

List all documentation sections and their page counts.

Args: source: "geap" (default) or "vertex-ai"

Returns: Structured overview of all available documentation sections with descriptions and page counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceNogeap

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Description indicates it's a read operation returning structured data, but lacks details on side effects, auth requirements, or performance implications. Barely adequate given no annotations.

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?

Description is concise and well-structured with Args and Returns sections, but could be slightly more efficient.

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?

Simple tool with one optional parameter and an output schema; description covers basic functionality but doesn't elaborate on scope or limitations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Description explains the 'source' parameter with allowed values, adding value beyond the schema which lacks property descriptions.

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?

Description clearly states it lists documentation sections with page counts, distinguishing from sibling tools like get_doc and search_docs.

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 this tool vs alternatives; no exclusions or prerequisites mentioned.

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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