read_doc

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

With no annotations, the description must carry behavioral disclosure. It says 'Read' and 'full content', which conveys read-only behavior and non-truncation, but does not mention error handling, authentication, or any side effects. This is adequate but minimal for a simple read tool.

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 a single concise sentence with no redundant or filler words. It front-loads the action ('Read the full content') and adds a clear purpose, making it easy to parse.

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?

For a one-parameter, no-output-schema tool with no annotations, the description provides sufficient context to understand what the tool returns and why it exists. It could mention error behavior, but the combination of description and schema is largely complete for a simple read operation.

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 provides 100% coverage of the only parameter (objectId) and already notes it is obtained from find_docs. The description adds no additional parameter context beyond the broader purpose, so the baseline score of 3 is appropriate.

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 reads the full content of a specific documentation file, with a specific purpose (code examples and detailed API usage). This distinguishes it from siblings like find_docs (search) and list_doc_topics (topics) by focusing on retrieving the full content for a known document.

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 implies usage when detailed examples are needed, but does not explicitly name alternatives or exclusion criteria. The schema notes the ID comes from find_docs, but that is in the schema rather than the description. Thus, usage context is present but not fully explicit.

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