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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds real behavioral context beyond that: it discloses the return payload (businesses, share of answers, edition, Index link) and the domain boundaries (44 categories, 88 cities, 20 countries, eleven languages). It does not say what happens on an unknown category or place, which keeps it from 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 and return contents are front-loaded in the first sentence, followed by coverage scope and language behavior. Three dense sentences with no filler. Slightly long, but every clause carries information an agent would otherwise have to infer.

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, and the description compensates by enumerating the returned fields and the link to the Index page. Input constraints (language handling, coverage breadth) are also given. It is nearly complete for a two-required-parameter read tool; only edge-case behavior for unmatched categories or places is absent.

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. The description goes beyond the schema by stating that category and place may be written in any of the eleven supported languages, which explains the cross-language matching behavior that the schema examples only hint at. It does not add syntax guidance for the language parameter itself, but that is already fully documented in the schema.

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 states a specific verb (reads) and a named resource (the AI Visibility Index by AIGROW) and spells out what the answer contains: which businesses ChatGPT, Claude, Gemini and Grok name, their share of answers, edition, and Index link. It is clear without opening the schema. It does not, however, differentiate itself from the sibling check_ai_visibility, so an agent must guess which of the two to pick.

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: the tool takes a category and a place, so an agent can infer it is the lookup-by-category-and-place route. There is no explicit when-to-use statement, no exclusion, and no mention of the sibling check_ai_visibility as an alternative. Adequate but with a clear routing gap.

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