get_billing_usage

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

With no annotations provided, the description uses the verb 'Fetch' to imply a safe read-only operation, and mentions 'workspace names inline' as output format. It does not explicitly state non-destructive behavior, permissions, or pagination/limits, leaving some behavioral aspects undisclosed.

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 concise: a one-sentence purpose followed by a clean Args list. Every element is necessary and adds value, with no redundancy.

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 provides the purpose and parameter details, but with no output schema, it only hints at the return format ('trace counts with workspace names inline') without specifying structure. It also does not cover pagination or edge cases, making it slightly incomplete for a complex fetch.

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?

The input schema covers all parameters with descriptions that exactly match the description's Args section (100% coverage). The description adds no additional meaning beyond the schema, so it meets the baseline of 3.

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 opens with a specific verb 'Fetch' and a specific resource 'organization billing usage (trace counts)' with output detail 'workspace names inline'. This clearly differentiates it from sibling tools that deal with prompts, runs, datasets, and experiments.

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 clearly implies this tool is for retrieving billing usage data, and the optional workspace parameter indicates filtering. However, it does not explicitly state when to use this over alternatives or mention any exclusions. Since no sibling tool handles billing, the context is clear, but explicit guidance is missing.

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