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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds scope detail (latest measurement only, includes change vs. previous measurement, tied to a plan tier), but says nothing about auth requirements, latency, or the shape/format of the response beyond listing the metrics.

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 what the measurement contains and finished with the question it answers. The tier parentheticals are informative rather than filler, though the first sentence is dense with clauses and could be split.

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?

There is no output schema, so the description must carry the return-value burden, and it does: it enumerates the counts, the per-assistant breakdown, and the delta versus the previous measurement. Combined with annotations covering the safety profile and a fully documented single parameter, an agent has enough to call and interpret it correctly.

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% for the single project_id parameter, including the note that it is optional when the account has one project. The description only implies a single-project scope ("one project") and adds no syntax or defaulting detail beyond the schema, so the 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?

The description names a concrete resource (the latest measurement of one project) and enumerates exactly what it reports: how many assistants name the business out of the 12 (Monitor) or 14 (Growth) targets, in how many answers, per assistant, plus the delta since the prior measurement. That is far more specific than a tautology, though it is phrased as a noun phrase rather than a verb+resource and never names which sibling it replaces.

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?

It gives an explicit usage cue — "Use it to answer «how am I doing on Mador?»" — which tells the agent the question this tool answers. There are no exclusions or named alternatives (e.g. get_mentions, get_competitors), so routing between siblings is still left to inference.

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