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

Annotations already declare readOnly, idempotent, non-destructive and closed-world behavior, so the bar is lower. The description nonetheless adds real context beyond them: comments are anonymous (no name or profile), they are returned exactly as on the web, and results may legitimately be empty or sparse and must not be fabricated.

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, then anonymity, then the empty-result caveat. Each sentence carries distinct information; only phrases like 'tal como están en la web' border on redundancy, but they convey raw-fidelity intent.

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 does the work of characterizing the return (anonymous comments plus wishlist/favorite counts, possibly empty), and annotations cover the safety profile while the schema covers all three parameters. The main missing piece is how comments are ordered or paginated, which an agent may need for multi-page retrieval.

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 the schema already fully documents sku, limit and country (including the es/fr enum semantics). The description adds no parameter-level detail such as default limit or SKU-vs-URL acceptance, so the baseline 3 applies.

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 resource and scope: public customer comments for a given game from Zacatrus, plus how many customers wishlist or favorite it. It clearly describes the returned data (raw web text, anonymous), but it never names or differentiates itself from related siblings such as community_top_games or get_game.

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 implied by the resource description rather than stated: an agent can infer it is for reading a specific game's comments, but there is no explicit when-to-use, when-not-to-use, or named alternative (e.g., community_top_games for aggregate rankings). The 'si no hay, no lo inventes' instruction is a result-handling hint, not usage routing.

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