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

Annotations declare read-only, idempotent, open-world, non-destructive behavior, so the safety profile is covered. The description adds only the short-answer and per-fact cell-citation expectation, without explaining rate limits, auth, or how prior results are selected.

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?

The definition is a single compact sentence with no filler and puts the citation constraint up front. Its brevity is appropriate, though the fragmentary phrasing slightly reduces clarity.

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 one-parameter read-only tool with no output schema, the description should at least define the input and clarify the return contract. It partially describes the answer format but leaves the input semantics and the link to prior search results under-specified.

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?

There is one required string parameter named input, with 0% schema description coverage, and the description never says whether input is a query, a question, or a reference to prior results. It only obliquely mentions 'a search,' so it does not compensate for the schema gap.

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 frames the tool as producing 'A short answer to a search, from the results you were shown' with each fact citing a cell reference. That gives a rough sense of purpose but does not use a clear verb+resource framing or distinguish it from search siblings like cells_find or source_search.

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 implies the tool operates on results already shown, but gives no explicit when-to-use versus alternatives, no prerequisites, and no exclusions. An agent must infer whether to call this instead of cells_find or another ask-style tool.

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