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

With no annotations, the description carries the burden. It does disclose behavioral traits such as pricing per endpoint, coverage ('Global'), and the use of 'official CPSC recall screens'. However, it omits authentication requirements, rate limits, response structures, or call side effects, leaving significant behavioral gaps.

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 front-loaded with a clear purpose, then organized into a bulleted endpoint list with prices. However, it is quite long (14 bulleted endpoints) and partially repeats the enum descriptions already in the schema. While the pricing information is useful, the length could be trimmed without losing necessary context.

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?

The tool is complex: 22 parameters, 14 possible actions, and no output schema. The description fails to explain what each endpoint returns, which parameters are required for specific actions, or how to combine parameters. An agent would struggle to correctly invoke the tool beyond the most obvious cases, making the description incomplete for its 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?

Although schema description coverage is 100%, the parameter descriptions are merely placeholders (e.g., 'item', 'lang'). The tool description lists endpoint names and prices but does not explain which of the 22 parameters apply to each endpoint or how to format their values. This leaves parameter selection and usage ambiguous, failing to add meaningful semantic value.

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 this is a product discovery tool for shopping/buyer agents, positioned as the research layer before purchase. It lists specific capabilities (buy/wait/avoid verdicts, recall screens, comparisons, alternatives, gift finding). However, it does not explicitly differentiate from the large sibling set of similarly named 'pulse' tools, so it lacks explicit sibling differentiation.

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 implies usage context ('research layer before the transaction') and enumerates specific endpoint use cases (e.g., 'Best product for use case', 'Head-to-head product comparison'). It does not explicitly state when not to use this tool or name alternative sibling tools, so guidance is implied rather than explicit.

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