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

No annotations are present, so the description carries the full burden, and it discloses almost nothing: only '@return: a json object'. It does not say that this is an external LLM call (latency, cost, non-determinism), whether the prompt or response is logged, whether the call requires an authenticated session, or how errors are surfaced.

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 JSDoc-style block is short, front-loads the single purpose sentence, and every line is scannable. The only waste is the redundant '@param prompt: The string prompt' restatement.

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 four-required-parameter call with no annotations, no output schema, and 0% schema coverage, the description documents the inputs but leaves the behavior opaque: nothing about the auth flow ordering, the shape or content of the JSON response, or the cost/latency of an LLM invocation. An agent has enough to construct the call but not to predict its effect.

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 0%, so the description must compensate, and it does meaningfully: it documents all four parameters and supplies provenance that the schema lacks (token is 'the wallet_api_token provided by /access/login'; wallet_fk likewise comes from that login flow). It loses points only for circular entries like 'prompt: The string prompt', which add nothing.

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 concrete action on a concrete resource: it sends a prompt to Gemini AI and returns a result. That is enough to distinguish it from every sibling (all of which are wallet/payment operations), though it never frames itself relative to those siblings or explains why an agent would use an AI call inside this API.

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?

There is no when-to-use guidance, no prerequisite ordering, and no mention of alternatives. An agent cannot tell from the text when invoking Gemini is appropriate versus using the domain-specific tools around it, nor what must happen before this call (e.g. that a login token is required first).

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