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

No annotations are provided, so the description carries the burden. It discloses the search behavior (free-text matching against name, description, tags) and the return fields, which is useful. However, it doesn't disclose default/limit behavior beyond the schema, pagination, or whether the query is required. The description adds some behavioral context but not rich detail.

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?

One concise sentence that front-loads the action and scope, then lists return fields. No wasted words.

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 search tool with 4 optional parameters and no output schema, the description covers the search dimensions and return fields. It could mention that all parameters are optional and combinable, and clarify the default behavior, but the schema already covers parameter details. The reference to list_departments helps with the department parameter.

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 description coverage is 100%, so the schema already documents all four parameters. The description adds a bit of context by listing the return fields and mentioning the department parameter references list_departments, but it doesn't add significant meaning beyond the schema. Baseline 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 searches an AI tools directory with specific filter dimensions (free-text, industry department, pricing tier) and lists the return fields. It distinguishes itself from siblings like get_ai_tool (single tool retrieval) and list_departments (department list).

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 when to use it: when you need to search/filter the directory, and the department parameter references list_departments for valid values. It doesn't explicitly state when not to use it or name alternatives like find_free_ai_tools, but the context is clear enough for an agent to select it.

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