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

Annotations already declare readOnly, idempotent, non-destructive behavior, so the safety profile is covered. The description adds value beyond them by disclosing the return shape (URL, scores, page_type, stale flag) and that it only covers analyses the dashboard has already produced, which scopes expected results.

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?

Front-loaded with the core purpose, then return fields, then the alternative, then args. Slightly redundant with an Args block repeating intent already stated, but no sentence is wasteful.

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 and low schema coverage, the description carries the load well: it names return fields, scoping to dashboard-produced analyses, the alternative tool, and the two otherwise-undocumented params. Minor gap is the omission of user_intent from the Args list.

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 coverage is only 33%, so the description must compensate, and it does: it documents brand_id as required and limit as max-results with range 1-100 and default 20. The user_intent param is undocumented here but is described in the schema, so nothing is fully dark.

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?

Specific verb (list) + resource (deep page analyses) with an explicit scope qualifier ('recent ... for a brand'). It also names the sibling get_page_analysis it is not, so an agent can distinguish list-vs-detail without opening schemas.

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?

It clearly routes the agent to get_page_analysis for the full per-URL payload, giving a positive alternative. It stops short of explicit when-not-to-use conditions or prerequisites, but the context for selection is clear.

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