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

Annotations already declare read-only, non-destructive, closed-world behavior, and the description adds substantial behavioral context beyond that: return fields (excess character count, bullet/highlight counts per SKU), an at_risk band of 73–75 chars, Amazon's AI rewrite enforcement, and the fact that Item Highlights do not make a long title compliant and are not writable on some marketplaces. This is unusually rich disclosure.

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 core purpose is front-loaded, and most sentences carry useful information. However, the description is long, mixes English and Italian mid-sentence, and blends return behavior, usage, and caveats without clear structure. This reduces conciseness despite the informational density.

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?

There is no output schema, but the description explains what is returned (over-limit titles, excess counts, at_risk band) and how to act on findings. Annotations cover the safety profile, and parameter documentation is complete via schema. It is largely complete for a two-parameter, read-only audit, though pagination behavior beyond max_pages is not elaborated.

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 both max_pages and account_id are already documented in the input schema. The description adds no additional parameter-level meaning, such as default behavior, pagination limits, or account_id optionality. Baseline 3 is appropriate.

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: audit all listings for the Amazon 75-character title limit. The scope is clear from the title-limit focus, but it does not explicitly distinguish itself from siblings such as audit_compliance or get_listing_issues, so a 4 rather than 5.

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?

Provides contextual usage hints: the fix for an over-limit title is TRIM_TITLE, and prioritization should use execute_sql on sales data. However, it never states when to choose this tool over alternative audit tools or when not to use it. Usage is implied rather than explicit.

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