product_offers_retailer

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

Since no annotations are provided, the description carries the full disclosure burden, but it only says 'Get current pricing offers.' It does not disclose behavior such as how identifiers are resolved, whether the data is live/cached, possible response omissions, pagination, or error conditions.

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, concise sentence with no redundant filler. The verb, object, and key scope qualifier are front-loaded, making it quick to parse.

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?

For a simple two-parameter read operation, the description plus schema covers the basic invocation. However, the absence of annotations, output schema, and any guidance about expected response shape or tool selection leaves some contextual gaps for an agent choosing among sibling tools.

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%, with useful format examples for both retailer and identifier. The description adds little parameter semantics beyond the schema, so the baseline score of 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?

The description states the verb ('Get'), the resource ('current pricing offers'), and a clear scope condition ('for a product from a specific retailer'). This conveys what the tool does and distinguishes it from the general product_offers sibling by emphasizing retailer specificity, though it does not explicitly name the sibling it complements.

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 phrase 'from a specific retailer' implies this tool is appropriate when offers are needed for one known retailer. However, it does not explicitly state when to choose this over product_offers or other siblings, nor does it mention exclusions; the usage context must be inferred.

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