v1_market_trend

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

No annotations are provided, so the description carries full burden. It clearly states the tool performs deterministic reads from archived history with no upstream calls, and notes the cost per call. This is good disclosure, though it could mention error handling or permission needs.

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 cost and purpose, followed by technical details and behavioral info. It is informative but slightly verbose; the cost note could be placed elsewhere. Overall, it is well-structured and 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?

The tool has no output schema, so the description should explain return values. It mentions 'time series' and sampling frequency but does not describe the output format (e.g., data structure, fields). Error handling and edge cases are also absent. The description is adequate but not fully complete.

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%, but the description adds significant value beyond the schema: it provides example values (Data, Inference, Search), explains the meaning of 'all' for catalog totals, and references the taxonomy endpoint for the full list. The days parameter is described as a 1-30 window.

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 it retrieves the x402 ecosystem listing trend as a time series per category or total. It specifies the data source and sampling frequency. However, it does not explicitly distinguish itself from the sibling tool 'x402_market_pulse', which is mentioned as a free snapshot, leaving some ambiguity.

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 provides query parameters (category and days) and examples, implicitly guiding usage. However, it does not specify when to use this tool versus alternatives like 'x402_market_pulse' or 'v1_category_breakdown', nor does it include when-not-to-use guidance.

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