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

No annotations are provided, so the description carries the full burden. It does not disclose what happens if the page lacks JSON-LD, whether the extraction fails gracefully, or any limitations on URL formats. The description is silent on error handling and edge cases, which is a significant gap for a tool reliant on a specific structured data format.

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, well-structured sentence that leads with the verb and resource, then provides the key data fields and the extraction mechanism. No filler or redundant information.

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 no annotations, the description should convey what the agent can expect in return. It lists price, rating, and images, but does not explain the return format, success/failure behavior, or whether partial data is possible. The tool is simple, but the lack of behavioral details leaves some ambiguity.

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?

The schema only describes 'url' as a product page URL. The description adds critical semantics by stating the URL must contain JSON-LD and that extraction relies on it, which constrains the acceptable input beyond the schema's generic description. This adds value beyond the schema's parameter documentation.

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 extracts structured product data (price, rating, images) from a product page URL using JSON-LD. The verb 'extract' and resource 'product data' are specific, and the mention of JSON-LD distinguishes it from search or comparison tools.

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?

Usage is implied: 'from any product page URL' suggests it should be used when a specific product URL is available. However, it does not explicitly mention when not to use it or provide alternatives, such as product_search for discovery or barcode_lookup for barcode-based queries.

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