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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering safety. The description adds useful behavioral context by stating that search results can be passed directly into 'get-endpoint', implying the output is compatible with that tool's input. It also mentions 'deep search' but doesn't detail pagination or rate limits; given annotation coverage, the added workflow info justifies a 4.

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 two sentences, front-loaded with the core purpose, and every clause contributes value. No filler or repetition.

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 single-parameter search tool with annotations covering safety and no output schema, the description is quite complete. It states what it does, when to use it, and how results feed into 'get-endpoint'. It doesn't describe the return format in detail, but the workflow hint mitigates that. Missing explicit mention of alternatives or edge cases, but adequate for typical agent use.

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?

Schema coverage is 100%, so the parameter 'pattern' is documented. The description adds meaning by explaining that the pattern searches through 'paths, operations, and parameters', which goes beyond the schema's generic 'Search pattern (case-insensitive)'. This clarifies what the pattern can match, adding value.

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: performing a deep search through paths, operations, and parameters to discover relevant API endpoints. It uses a specific verb ('search') and resource ('API endpoints'), and clarifies the scope of the search. However, it does not explicitly differentiate from sibling 'list-endpoints' (which likely lists all endpoints), leaving some ambiguity about when to choose this over listing.

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 usage context: 'Use this tool to find specific API capabilities, required parameters, or data models based on search keywords.' It also notes that results can be passed to 'get-endpoint', implying a workflow. However, it does not explicitly state when not to use it or mention alternatives like 'list-endpoints' or 'execute-request', so exclusions are absent.

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