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

With no annotations, the description carries the full burden and discloses that the operation is read-only, the scope is the user's own repricer SKUs, and the data is live. It explains the meaning of the 'attention' status and filter behavior. It does not mention potential performance characteristics or response size, but covers key behavioral aspects.

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 dense paragraph but well-organized: first the data fields, then usage scenarios, then parameter details, then a read-only note. Every sentence adds value, but the density could be slightly improved with bullet points or separators for readability.

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 the absence of an output schema, the description lists enough return fields to set expectations. It covers all parameters, filter values, and limit constraints. Missing details like pagination ordering or default page size are minor, as the page/limit params are self-explanatory and standard.

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?

Despite 0% schema description coverage, the description explicitly explains search ('matches SKU or ASIN'), enumerates all status filter values with the special 'attention' composition, and notes limit max 500. This fully compensates for the schema's lack of descriptions and adds meaningful semantics beyond parameter names.

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 clearly states the tool returns 'the user's repricer SKUs with live pricing state' and enumerates the specific fields. It distinguishes itself from sibling repricer tools by focusing on SKU-level pricing state rather than logs (get_repricer_log), settings, or stats.

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?

Gives explicit use cases: 'Call when the user asks what the repricer is doing, whether they hold the Buy Box on something, or why an item isn't repricing.' Does not name alternative tools for exclusions, but provides clear contextual triggers. Slightly missing an explicit 'when not to use' compared to the top-calibration example.

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