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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses that the response includes provenance details and read timing, which goes beyond what the schema shows. However, it does not mention error behavior, permissions, or whether this is a safe read operation.

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 no filler, and the core purpose is front-loaded. The parenthetical and the trailing provenance clause make it slightly dense, but every part earns its place.

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 one-parameter fetch with no output schema, the description adequately previews the return contents, including provenance and timestamp. It does not describe a structured return shape, but the tool's simplicity makes this a minor gap.

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 provides an example id. The description adds value by explaining where the id comes from (search_products) and confirming the 'brand/product-slug' format, clarifying the parameter's meaning beyond the schema alone.

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 a specific verb and resource ('get one product') and clearly identifies the input as the id returned by search_products, with a concrete format example. This distinguishes it from siblings like get_brand and search_products without needing to inspect the schema.

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?

It clearly implies the tool is used after search_products, since the required id is exactly what search_products returns. It does not explicitly state when not to use it, but the context is clear enough for an agent to infer the appropriate workflow.

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