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

Beyond the annotations it discloses replacement semantics ('One review per run; reviewing it again replaces the earlier one'), downstream consumption ('Ahel reads every review to rank and fix providers'), and a data-handling constraint ('Leave out private information, keys and raw rows'). These add real context that the annotations (readOnlyHint=false, idempotentHint=true) do not convey, though it never says what the call returns on success.

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 action and the scale, then constraints, then exclusions — a sensible ordering. The first sentence is long and clause-stacked, but every sentence carries distinct information (idempotency, privacy, cost, exclusions), so little could be cut without loss.

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 3-parameter, non-destructive rating tool with no output schema, this covers trigger, scale semantics, replacement behavior, privacy, and sibling routing. The only gap is the absence of any statement about the confirmation/return the agent gets after submitting a review.

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 baseline is 3, but the description still adds value: it glosses the enum values with intent ('not_sure when you cannot tell') and gives concrete reason examples ('missing rows, wrong data, stale') that the schema's generic 'why, in a sentence or two' does not. Only run_id is left to the schema's own text.

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 ('Rate how useful one finished run of this workspace was') and enumerates the exact rating scale, so the agent knows precisely what is being recorded. It also names the sibling tools it is not ('NOT for: a catalog request ... which is feedback'), separating it from catalog_request and feedback without opening either 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 an explicit trigger condition ('after you have used its result'), an explicit exclusion list naming the correct alternatives (catalog_request, feedback), and a fallback for uncertainty ('not_sure when you cannot tell'). The when/when-not/alternative triplet is fully covered.

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