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

No annotations are supplied, so the description carries the burden. It usefully discloses that the call is free (0 credit) and that results include parameters and calling instructions, but it says nothing about ranking, how many results come back by default, behavior on zero matches, or whether the sector filter narrows or broadens results.

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?

Two sentences, front-loaded with the core action and the return shape. The trailing 'Free. (cost: 0 credit)' restates the same fact twice, a small redundancy, but overall it is tight and scannable.

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 three-parameter discovery tool with a fully documented schema and no output schema, the description covers the essentials of what it does and roughly what comes back. It leaves the agent without guidance on result ordering, empty-result handling, or how discovery relates to list_apis and call_tool, which matters in a toolset this large.

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 all three parameters (need, limit, sector) are already documented in structured form. The description adds no meaning beyond the schema — it never mentions the limit range or the sector vocabulary, so baseline 3 applies.

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?

States a concrete verb and outcome: describe a need in plain words, receive best-matching tools with their parameters and invocation details. That clearly separates it from concrete-data siblings like weather or company_search. It does not explicitly distinguish itself from the closest sibling, list_apis, so it stops short of a 5.

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?

'Describe what you need in plain words' implies the usage context (natural-language tool discovery when you don't know the right tool), but there is no explicit when-to-use/when-not guidance and no named alternative such as list_apis or call_tool. The agent must infer that this is the entry point for discovery.

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