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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description still adds real behavioral context: publication refreshes through the source manifest, sparse and zero values are preserved, and observations are not joined into inferred current prices. That last point is a meaningful disclosure about data fidelity that no annotation conveys.

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 short sentences, front-loaded with what is returned and followed by the parameter requirement. The final clause about not inferring current prices duplicates the schema description and is somewhat convoluted, but the overall length is appropriate and 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 one required parameter, full schema coverage, an output schema, and readOnly/openWorld annotations, the description covers purpose, input, and data-fidelity behavior adequately. The only gap is the absence of explicit routing guidance against similarly named pricing siblings.

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% and there is only one parameter, so the schema already carries the semantics. The description restates the accepted values (ps5 or pc) and adds a note that observations do not infer current prices, but this is marginal value beyond the schema text, which says nearly the same thing.

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: "Get one published FC27 miscellaneous-item price dataset" returning "native compact manager/consumable observations." The "miscellaneous-item" scope and manager/consumable framing distinguish it from the general pricing sibling, though that sibling (futgg_fc27_prices) is never named explicitly.

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 explicit statement of when to choose this tool over futgg_fc27_prices or futgg_fc27_price_index. The only actionable instruction is "Pass platform ps5 or pc," which is a parameter constraint, not usage guidance. The agent must infer the selection context from the tool name alone.

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