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 discloses the payment requirement for the full recommendation ($10 USDC via x402) and that a free preview is available. However, it does not mention return formats, errors, or whether any data is stored, leaving some 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 compact (three sentences) and front-loaded with the core value proposition. The first sentence is more of a tagline than a functional description, but it does not waste much space. Overall, it is efficient.

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 tool with no output schema, the description adequately explains what the user gets: a recommended price and, with payment, comparables. It does not describe the free preview details, but enough context is provided for the agent to use it.

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% for the single 'query' parameter, so the baseline is 3. The description adds the suggestion to use natural language but does not provide additional syntax or format details beyond the schema's examples.

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's function: it suggests a price point for a service based on comparable services. The verb 'suggest' and resource 'pricing' are specific, and it is distinct from siblings like analyze_service or market_overview.

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 gives clear context for use: 'for what you're building' and 'Describe your service in plain language.' It implies the tool should be used when you need a price recommendation, but it does not explicitly contrast with sibling tools or state exclusions.

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