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

Annotations already cover read-only, idempotent, non-destructive, open-world. The description adds genuinely non-redundant behavior: every figure is 'stamped with the check time', refresh happens only at 05:00 GMT, and calling the tool does not trigger a check - so the agent knows the data's staleness profile before invoking. Missing only depth on response size or latency.

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?

Front-loaded with the what and the how-to-use, but the middle is a long run-on enumeration of every briefing field. Since an output schema exists, that catalog largely restates return values and could be trimmed without loss; the schedule and freshness clauses are the only sentences that earn their length.

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 annotations covering the safety profile, a 100%-covered single parameter, and an output schema defining the return payload, the description supplies exactly the missing pieces: usage triggers, the scheduled-task phrasing, and data-freshness semantics. An agent can select and call it correctly from this alone.

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% and the single site parameter already documents domain, id, or name forms and when to omit it. The description reinforces this by stating the read covers 'all of the person's sites, or one', clarifying the optional parameter's aggregate semantics beyond the schema's per-field note.

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 resource (the daily briefing read) and scope (all sites or one), with concrete content: per-AI mention counts, address, delta since yesterday, lost questions, new rivals, DR, best move. It implicitly ranks itself above siblings with 'Use it first for "how am I doing"', but never names an alternative tool such as trend, questions, or rivals that overlaps in data.

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?

Explicit when-to-use triggers ('how am I doing', 'read me my aipozi briefing', scheduled morning briefing) plus a literal scheduling example ('run daily_briefing from aipozi' every weekday at 07:00). It also sets a clear boundary: checks run at 05:00 GMT and this tool never runs one.

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