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get_usage_stats_detail

Retrieves detailed usage statistics for individual AI queries, including token counts and costs. Filter by date range and paginate results.

Instructions

Ver detalle de uso por consulta — Muestra el detalle individual de cada consulta de IA con tokens y costes [query]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fromNoFecha inicio YYYY-MM-DD
toNoFecha fin YYYY-MM-DD
pageNoNúmero de página
limitNoResultados por página
Behavior2/5

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

No annotations provided, and the description does not disclose any behavioral traits such as pagination, authorization needs, or side effects. It only states what is shown.

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

Conciseness4/5

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

Description is a single sentence, efficient and front-loaded, but could benefit from slightly more context without being verbose.

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?

For a detail retrieval tool with 4 parameters and no output schema or annotations, the description lacks information on return format, pagination, and filtering behavior, making it somewhat incomplete.

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?

Input schema covers 100% of parameters with descriptions, so baseline is 3. The description adds no extra meaning beyond the schema.

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

Purpose5/5

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

The description clearly states it shows individual detail of each AI query with tokens and costs, distinguishing it from aggregated usage stats.

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

Usage Guidelines3/5

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

The description implies it is for per-query details but does not explicitly state when to use it versus alternatives like get_usage_stats.

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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