get_walmart_product

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

No annotations are provided, so description bears full transparency burden. It discloses that the tool returns title, description, price, rating, images, and seller info, which is helpful. However, it doesn't mention potential error on invalid ID, rate limits, or auth requirements. For a simple read operation, this is sufficient.

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?

Two sentences, no redundant fluff. The first sentence states the purpose and return fields, the second gives usage guidance. Every sentence adds value.

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 single-parameter tool with no output schema, the description adequately covers input and output expectations by listing returned fields. It could mention error handling (e.g., invalid ID) or that images require a separate call, but overall it's reasonably complete given the complexity.

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 100% and the schema already describes the product_id parameter as a numeric string from the URL. The description adds no additional meaning beyond the schema, so baseline 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?

Description clearly states action (get detailed information), resource (Walmart product by product ID), and lists specific return fields (title, description, price, rating, images, seller info). It distinguishes from siblings like search_walmart (searching) and get_amazon_product (different retailer).

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?

Explicitly says when to use: 'when the user has a specific Walmart product URL or product ID and wants full details.' This provides clear context for appropriate invocation, though it doesn't explicitly state when not to use or mention alternative tools.

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