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

With no annotations provided, the description carries the full transparency burden. It explicitly discloses the pay-per-call cost ($0.05 USDC on Base via x402) and the error behavior when the payment-signature header is absent. This is important behavioral context beyond the basic 'extract' action, though it does not cover rate limits or other side effects.

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 four short sentences with no filler. It front-loads the core action and expected output, then provides the essential payment and error details. Every sentence earns its place and nothing is repeated from the schema.

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 tool with only two optional parameters and no output schema, the description covers the key aspects: what it does, what it returns, how much it costs, and what happens if payment isn't provided. It is nearly complete, though explicit sibling differentiation would make it stronger.

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?

The input schema already describes both parameters completely, with 100% schema description coverage. The description adds no additional field-level meaning beyond what the schema provides, so the baseline score of 3 is appropriate.

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 starts with a specific verb and resource: 'Extract customer pain points from text.' It also defines the deliverable ('top 5 pain points with severity and suggested solutions'), which clearly sets expectations and distinguishes this tool from sibling tools like analyze-sentiment or analyze-competitors.

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 use case is implied: use this tool when you need to extract pain points from text. The schema example about a forum thread reinforces this, but the description does not explicitly mention when not to use it or how it compares to sibling tools within the same toolkit.

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