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

Annotations already declare read-only, idempotent, non-destructive, closed-world behavior, so the safety profile is fully covered. The description adds value by disclosing the return shape (document IDs, titles, URLs) in the absence of an output schema; it does not mention result counts, ranking, or pagination.

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, no filler, and the subject scope is front-loaded before the return shape. Every clause earns its place.

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, closed-world search tool with a fully described schema and annotations covering the behavioral profile, this is nearly complete. The remaining gap is what a result set looks like at scale—ordering and whether results are exhaustive or truncated.

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% for the single 'query' parameter, so the baseline is 3. The description adds nothing about matching semantics—keyword vs natural language, whether multiple terms are ANDed, or whether the query spans all content sections.

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?

Specific verb (Search) plus the exact resource scope (the Web Search API Eval benchmark) and an enumeration of the content domains covered: results, questions, methodology, charts, how to run. It also states the return fields. It stops short of distinguishing itself from siblings like list_questions or get_charts, which overlap on the same content.

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?

Usage is only implied: an agent can infer this is the free-text entry point into the benchmark. There is no explicit statement of when to prefer this over fetch, list_questions, or the get_* tools for a known target, and no mention of query behavior or limits.

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