get_doc_content

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions fetching HTML content but doesn't describe key behavioral traits such as whether this is a read-only operation, if it requires authentication, potential rate limits, error handling, or the format of the returned content. This leaves significant gaps for an AI agent to understand how to invoke it safely and effectively.

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 highly concise and front-loaded, consisting of only two sentences that directly state the tool's purpose and usage hint. Every sentence earns its place without redundancy or unnecessary details, making it efficient for quick comprehension.

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 tool's moderate complexity (fetching content with two parameters) and the absence of annotations and output schema, the description is somewhat incomplete. It covers the basic purpose and a usage hint but lacks details on behavioral aspects and return values, which are crucial for effective tool invocation. However, the clear schema helps mitigate some gaps.

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 input schema has 100% description coverage, clearly documenting both parameters ('doc_slug' and 'path') with examples. The description adds minimal value beyond the schema by referencing 'path from search results,' which provides some context but doesn't elaborate on parameter semantics or usage beyond what's already in the schema. This meets the baseline for high schema coverage.

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 tool's purpose with a specific verb ('fetch') and resource ('full HTML content for a specific documentation entry'), making it easy to understand what it does. However, it doesn't explicitly differentiate from sibling tools like 'get_doc_index' or 'search_doc', which likely serve different purposes (e.g., fetching metadata vs. searching).

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 implied usage guidance by mentioning 'Use the path from search results,' which suggests this tool is for retrieving content after a search. However, it doesn't explicitly state when to use this tool versus alternatives like 'search_doc' or 'list_docs,' nor does it outline any exclusions or prerequisites for usage.

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