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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuinely non-obvious behavior beyond them: first-call latency (~1 minute background run), the need to re-poll when the test is still running, and the no-account/no-cost condition. It does not discuss rate limits or failure modes, so it falls short of a 5.

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 purpose is front-loaded in the first clause and every subsequent sentence carries distinct information (return contents, first-use latency, retry, cost). It is slightly dense but not padded; no sentence is filler.

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 no output schema, the description carries the return-value burden and does so: it enumerates how many answers named the business, which brands were named instead, which sources the assistant relied on, and what the assistant says about the business. Combined with the polling and cost notes, an agent has everything needed to invoke and interpret the call.

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%, so both params (url, lang) are already fully documented in the schema, including the authorization caveat and the enum default. The description adds no parameter-level meaning beyond that, so the baseline 3 is appropriate.

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 precise verb and resource: it checks whether a live-web-search AI assistant recommends a business when prompted without naming it. The scope (unprompted brand mentions, competitor brands, cited sources) is specific enough that an agent can distinguish it from generate_llms_txt and scan_website without opening a 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 operational guidance: it 'runs in the background on first use (about a minute)' and instructs to call again shortly if it reports the test is running, plus notes it is 'free, no account'. It does not name alternative tools or exclusion conditions, but the siblings are not substitutes for this test, so the missing routing is minor.

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