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

With no annotations supplied, the description carries the full burden, and it is exceptionally transparent: it discloses that answers are served byte-for-byte from GSC's record, that no model is in the answer path, that sig is a keyring signature over {id, a, ts} verifiable at the registry URL, and that prev affects ranking only. The 'Not investment advice' caveat adds an additional behavioral boundary.

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 description is dense but not bloated; each sentence contributes either scope, return-shape, or usage caveat. It could be slightly trimmed, but it earns its length by covering authenticity, signature verification, and context semantics in a compact form.

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?

Given there is no output schema and no annotations, the description fully explains what the tool returns (answer object fields, shelf, suggested links, sig), how the signature can be verified, and how prev changes behavior. Nothing essential for invoking it correctly is missing.

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 q and prev are already fully documented in the input schema. The description's mention of prev as 'one-turn context' largely restates the schema's own description ('one-turn context, ranking only') and adds no new parameter-level meaning beyond it.

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 specific verb and resource ('Ask GSC's AI assistant elyssah') and defines the exact topical scope (GSC, AI Agents for Beauty & Personal Care, records, investment market). It is clearly distinct from the sibling fleet/carrier/jurisdiction tools, so an agent can identify it without opening the 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?

The description gives clear context for when to use it: for natural-language questions about GSC and the listed topics, with the prev parameter for one-turn context. It does not explicitly name alternative tools or say when not to use it, but no sibling tool offers the same Q&A role, so the guidance is adequate.

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