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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavior: the result is a paginated page of candidates rather than a ranked list, and substitution across model generations is disallowed. It does not mention rate limits or result size caps, but the added context is meaningful.

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?

Three sentences, front-loaded with the lookup purpose, then the scope caveat, then the matching rule. No sentence is redundant and none repeats structured fields verbatim.

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 correctly compensates by describing the return shape ('a page of candidates') and the matching expectation for consumers. It does not cover how ambiguity is reported or how many candidates a page holds, which leaves a small gap for an ambiguous-name resolution tool.

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% with 7 well-documented parameters, so the schema already carries the parameter burden. The description adds only a light notion of 'name' ambiguity and paginated candidates, which the schema's own 'page' description largely covers. 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?

The description states a specific verb and resource ('look up public model identifiers') plus the trigger condition ('when a requested name is ambiguous'). It also distinguishes itself from the sibling grandet_find_cheapest_api by explicitly disclaiming that role ('Results are a page of candidates, not a cheapest-provider ranking').

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 gives a clear when-to-use condition (ambiguous name lookup) and a disambiguation instruction ('Prefer an exact officialId match; do not silently substitute a different model generation'). It implies the boundary against the cheapest-provider sibling but never names it, so routing is inferable rather than explicit.

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