get_doc_content

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 explains the dual API pathways (Docs API for native Docs, Drive API for Office files) and mentions the return format ('content with metadata header'), which adds useful context beyond basic functionality. However, it lacks details on permissions, rate limits, error handling, or pagination.

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

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

The description is appropriately sized with three sentences: a clear purpose statement, bullet points for API details, and a return value note. It is front-loaded with the main action and avoids unnecessary fluff, though the bullet points could be integrated more smoothly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (handling multiple file types via different APIs), 4 parameters with 0% schema coverage, and no output schema, the description is incomplete. It misses parameter explanations, does not detail the metadata header format, and omits behavioral aspects like authentication needs or error cases, leaving significant gaps for an AI agent.

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

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

The schema description coverage is 0%, so the description must compensate for all 4 parameters. It only mentions 'document_id' implicitly and does not explain the purpose of 'docs_service', 'drive_service', or 'user_google_email'. This leaves critical parameters undocumented, failing to add meaningful semantics beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Retrieves content') and resource ('Google Doc or a Drive file'), distinguishing it from sibling tools like 'get_drive_file_content' by specifying it handles both native Google Docs and Office files with different API pathways. The verb+resource combination is precise and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context about when to use this tool—for retrieving content from Google Docs or Drive files—but does not explicitly state when not to use it or name alternatives. It distinguishes from 'get_drive_file_content' by mentioning Office file support, though not as a direct comparison.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.