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

Annotations already establish readOnlyHint=true, and the description reinforces a non-destructive operation through words like 'get', 'report', and 'lists'. Beyond annotations, it adds useful behavior: the tool scans typedTags data and has a max_items scan limit, which informs the agent about scope. A minor gap is that 'Lists all content' could be more explicit about how max_items caps or truncates the scan.

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 compact, front-loaded with the core purpose, and uses a short Args block that maps directly to the two schema properties. Every sentence adds value; there is no repetition of the schema or annotation fields.

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 only two optional parameters, an output schema present, and a read-only annotation, the description covers the essential behavior, parameter semantics, and intended use case. Nothing critical is missing for an agent to select and invoke this tool correctly.

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 carries the documentation burden for both parameters. It provides concrete meaning for 'genre' with Arabic examples and the 'leave empty for all genres' behavior, and for 'max_items' with 'per section to scan' and a default. This compensates well, though the exact effect of max_items on result completeness could be slightly clearer.

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 uses a specific verb-resource pairing ('Get a full report of content by genre or sub-genre') and immediately clarifies the inputs and output use case ('SEO metadata for building category pages'). The mention of 'typedTags data' adds a distinguishing data source that separates it from generic search or browse siblings.

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 intended use case is clear: generating category pages from genre/sub-genre content and SEO metadata. It does not explicitly name sibling alternatives or state when not to use this tool, but the 'using typedTags data' and 'for building category pages' framing provides enough contextual guidance.

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