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

Beyond the readOnlyHint annotation it discloses non-obvious behavior: real people only by default, cloud users appended only when logged in, cloud users cannot be chatted with and must be reached via send_cooperation_request with manual relay, no contact details in results, and 429 must not be retried. These are exactly the constraints an agent would otherwise get wrong.

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?

Purpose is front-loaded and nearly every clause carries routing or constraint information, so little is wasted. However, the arrow-chain telegraphic style ('user.id→get_creator→start_conversation(429不重试)/follow_creator') is dense and slightly harder to parse than prose.

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?

With no output schema, the description does cover the return shape (real users plus cloud users, no contact info, offset/nextCursor pagination) and the downstream flow for each returned identifier. Minor gaps remain: no mention of result ordering, total counts, or what an empty result means.

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 enum values and limit/offset bounds are already documented, making 3 the baseline. The description still adds meaning the schema lacks: the invalid-chip fallback to 'all', the instruction to resolve live chips via get_talent_chips, and the note that offset comes from the previous nextCursor.

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 specific verb and resource: '按求职专业目录找人才' (find people via the job-seeker professional directory), and immediately fences off the wrong interpretation with '非企服产品目录' plus the title's '不是找产品'. An agent can distinguish it from list_products / search_products / list_creators without opening a schema.

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?

Gives explicit routing rules: call get_talent_chips first to obtain real chips, invalid chip falls back to 'all', and niche queries should switch to search_people. It also states the follow-up paths (user.id → get_creator → start_conversation / follow_creator; company.slug → get_company) so the agent knows what to do after the listing.

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