market-intelligence

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the data source (on-chain USDC settlements), distinguishes from catalog listings, and implies a read-only, non-destructive operation. However, it does not mention rate limits, authentication requirements, or potential errors, leaving some minor 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 relatively concise with 4 sentences, front-loading the primary purpose. Every sentence adds value, though it could be slightly more compact. The structure is logical, moving from what the tool does to when to use it.

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?

Given the tool has 6 parameters, no output schema, and no annotations, the description provides sufficient context to understand the tool's purpose, data source, and typical use case. It covers the business logic well, though it omits details about the return format or any limitations.

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 description coverage is 100%, so the baseline is 3. The description reiterates the filtering capabilities (category, price range, minimum payers) but does not add significant new semantics beyond what the schema already provides. The added context about USDC settlements is more about the overall behavior than parameter-specific meaning.

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 returns 'settlement-verified x402 endpoint intelligence' with specific characteristics (organic payer breadth, live pricing from on-chain USDC settlements). It distinguishes itself from potential sibling tools by emphasizing the on-chain verification aspect and the use case of confirming endpoint activity before wiring a workflow.

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 explicitly explains when to use this tool ('before wiring a workflow to an external x402 endpoint') and what it confirms (active, multiple independent payers, not private infrastructure or dead listing). While it doesn't mention when not to use it or name alternative tools, the context is clear and actionable enough for an AI agent.

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