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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds meaningful behavioral context beyond annotations by stating that the dataset is a crawled catalog with one row per SKU covering games, editions, and add-ons, which helps the agent interpret results and filter semantics. It does not cover pagination or rate limits, but those are largely handled in the schema.

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 a single tightly written sentence with a parenthetical that front-loads the resource and row granularity. Every clause contributes useful information without repetition or 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?

Given an output schema exists and schema description coverage is 100%, the description does not need to explain return values or parameter syntax. It provides enough orientation for a dataset search tool by identifying the dataset, its crawled nature, and its SKU-level row structure. The main omission is sibling routing, which is not fatal but would improve completeness in a dense toolset.

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 all 28 parameters are already richly documented in the input schema. The description lists some dataset fields (publisher, genres, platform, price/discount, ratings) but does not add syntax, defaults, or filtering semantics beyond what the schema already provides. A baseline 3 is appropriate when the schema carries the parameter documentation.

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 (Search) and resource (PlayStation Store games dataset), and clarifies the crawled-catalog granularity with one row per SKU. It implicitly distinguishes the dataset from live PlayStation Store search tools through 'dataset' and 'crawled catalog,' but does not explicitly name or route against sibling tools such as playstation_search or datasets_playstation_games_item.

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 implies that this tool is for searching the PlayStation games dataset, which is useful context. However, it provides no explicit when-to-use or when-not-to-use guidance relative to alternatives like datasets_playstation_games_facets, datasets_playstation_games_item, or live playstation_search.

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