baton_cost_summary
내 provider/model/task별 비용과 token 합계를 조회한다.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | Yes |
내 provider/model/task별 비용과 token 합계를 조회한다.
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description is the sole source. It discloses the basic operation but lacks details on auth requirements (api_key is required but not mentioned), whether it's read-only, rate limits, or response format.
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?
Description is a single short sentence, front-loaded. It is concise but could benefit from additional context without being verbose.
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 the single required parameter and no output schema, the description lacks completeness. It doesn't explain the input or output structure, which is insufficient for proper tool invocation.
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 0% and the description does not explain the apikey parameter. It omits any guidance on input semantics, leaving the agent to infer from the schema alone.
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?
Description clearly states it retrieves cost and token totals grouped by provider/model/task. The verb '조회한다' indicates retrieval, and the resource is cost summary. It distinguishes from siblings like baton_cost_record (likely individual records) but without explicit differentiation.
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 guidance on when to use this tool versus alternatives like baton_cost_record or baton_account. The description only states what it does, not the context or prerequisites.
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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