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x402_export_analytics

Export payment analytics data in JSON or CSV format for specified periods to facilitate analysis and reporting.

Instructions

Export payment analytics data to JSON or CSV format.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoExport formatjson
periodNoTime periodall
Behavior2/5

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 only says 'export payment analytics data' without disclosing behavior such as output structure, return format, file handling, or any side effects. The schema provides period and format enums, but the description adds no behavioral context beyond that.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no wasted words. It is front-loaded and immediately communicates the core action. This is an example of appropriate economy of language.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a simple schema with 2 optional parameters, but with no output schema, the description should indicate what the return value looks like (e.g., a downloadable file, raw data string, etc.). It does not clarify the nature of 'analytics data' or the response format, leaving some ambiguity for an AI agent selecting the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with both format and period parameters having clear enums and descriptions. The description adds minimal value by explicitly naming 'JSON or CSV' which mirrors the format enum, but it does not elaborate on the period parameter. Given the schema does the heavy lifting, a baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool exports payment analytics data in JSON or CSV format. It uses a specific verb and resource, and the mention of 'payment analytics' distinguishes it from other export tools like export_news_data or portfolio_export. However, it does not explicitly reference the x402 context from the tool name, so it's slightly less specific than it could be.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. No mention of scenarios, prerequisites, or exclusions. The description simply states the action without any contextual usage hints.

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

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