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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral context by enumerating what the detailed response contains (merchant description, store info, images, SKU variants, pricing in requested currency, direct link), which helps the agent set expectations about the output. Nothing contradicts the annotations.

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, fairly long sentence that front-loads the core purpose and then lists use-case details. It is efficient in word count but slightly dense due to the enumeration of output fields. It earns points for being front-loaded and non-repetitive, but could be structured as multiple sentences for improved 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 tool's simplicity (3 params, one required) and the presence of an output schema, the description is complete: it defines the purpose, provides workflow context (after discovery tools), enumerates returned content, and mentions currency handling. No critical information is missing for effective tool selection and invocation.

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 all three parameters clearly explained in the input schema (e.g., product_id from a previous search, currency ISO code). The description only mentions "product ID" and "requested currency" without adding new semantic detail. Baseline 3 is appropriate because schema carries the parameter meaning.

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 opens with a specific verb+resource: "Get the detailed response for a specific product ID," which immediately conveys the tool's function. It further distinguishes itself from sibling tools by framing the tool as a post-discovery retrieval step, listing the specific data fields returned (merchant description, images, SKU matrix, prices) and making clear this is the tool for detailed product data.

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 description explicitly states when to use the tool: "Use this after discover_products or find_similar_products when you need..." This provides clear contextual guidance and names the preceding discovery tools. It does not explicitly articulate when not to use it, but the workflow implication is strong enough to guide an agent effectively.

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