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export_csv

Export LLM token usage data as CSV text to analyze costs across models and identify optimization opportunities.

Instructions

Export usage data as CSV text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoall
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 states 'export' but does not disclose whether data is read-only, any limits, or side effects. Minimal transparency beyond the obvious.

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

Conciseness3/5

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

The description is very short (5 words) and front-loaded with the main action. However, it is under-specified for the task, so conciseness comes at the cost of completeness.

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

Completeness2/5

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

Given 1 optional parameter and no output schema, the description should explain what 'usage data' includes and how the period parameter works. It does neither, leaving the agent with insufficient context.

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

Parameters1/5

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

Schema has 0% description coverage on the single parameter 'period'. The description does not explain the parameter or its enum values, nor mention that it controls the time range. Fails to compensate for lack of schema descriptions.

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 verb 'export' and resource 'usage data' with format 'CSV text'. It distinguishes from sibling tools like get_hints or get_summary which are retrieval tools, but does not explicitly contrast.

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?

No guidance on when to use this tool versus alternatives like get_summary or log_usage. The description lacks context for choosing export_csv over other tools.

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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