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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. With no output schema, the enumeration of returned fields (price, min weight, Q&A) does add useful shape information, but the description says nothing about behavior on an invalid/unknown slug or whether all fields are always present.

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?

A single sentence with the returned data listed first and the parameter provenance last, so it is front-loaded and free of filler.

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 one-parameter read tool with no output schema, listing the content the caller receives plus the slug source is largely sufficient. Only error/absence behavior for an unmatched slug is left unstated.

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 there is only one parameter, so the baseline is already satisfied. The description goes further by explaining where the slug value should come from (search_products), which is genuine semantics the schema does not provide.

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 names the resource (specific product by slug) and enumerates the returned content: description, price, minimum weight/quantity, Q&A. This lets an agent distinguish it from search_products, though the action verb ('return details for') is only implied rather than stated.

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 parenthetical '(slug from search_products)' explicitly establishes the call chain, telling the agent this is a follow-up to search_products rather than a replacement. No explicit exclusions are given, but the workflow context is clear enough to guide selection.

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