Ecosystem Monitor

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

No annotations are provided, so the description must carry the full burden. It describes the data source (nginx logs) and output, but does not disclose potential costs, rate limits, or whether the operation is read-only. The description is adequate but lacks depth.

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?

Two sentences, front-loaded with purpose, no extraneous information. Highly 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?

Given no output schema and no annotations, the description provides sufficient context for a simple stats tool. It describes what is returned. However, lacking guidance on when to use versus sibling slightly reduces completeness.

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%, as both parameters have descriptions. The description adds no new semantic information beyond the schema; it only restates the schema's content. Baseline 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 clearly states the tool retrieves x402 paid API call activity stats from nginx logs, specifying return fields (top endpoints, unique payers, trend data). This is a specific verb+resource that distinguishes it from the sibling 'get_x402_ecosystem'.

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 does not explicitly indicate when to use this tool versus the sibling 'get_x402_ecosystem'. While the purpose is clear, there is no guidance on alternatives or when to avoid this tool.

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

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

No annotations are provided, so the description must carry the behavioral disclosure burden. It clearly indicates a read operation and describes the return shape, but lacks details on side effects, permissions, rate limits, or expected response format. This is minimally adequate.

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 a single, concise sentence of 18 words that effectively communicates the tool's purpose and primary output, with no unnecessary information.

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 description adequately covers the main output features for a simple tool with two optional parameters and no output schema. It mentions the three key return elements. Slight room for improvement in explaining 'ecosystem intelligence', but overall sufficient.

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% (both parameters have descriptions in the schema). The tool description adds no significant meaning beyond the schema; it only briefly hints at the 'category' filter by mentioning 'services by category'. The 'sort' parameter is not mentioned in the description.

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 action ('Get'), the resource ('x402 ecosystem intelligence from Agentic Market'), and the output structure ('services by category, counts, and which memoryapi.org services are listed'). The tool name and description effectively differentiate it from its sibling 'get_x402_activity'.

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?

No explicit guidance is given on when to use this tool versus its sibling 'get_x402_activity'. The usage is implied by the tool's purpose, but without comparative context, the agent may not know which tool to choose for specific scenarios.

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