deepl_get_usage

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions the scope (current billing period), but fails to describe whether the operation is read-only, what authentication is needed (beyond the param), or any rate limiting. For a tool with no annotations, this is insufficient.

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 a single sentence of 13 words, front-loading the action and scope. No filler or redundant information. Every word contributes to the purpose, making it highly efficient.

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 tool's simplicity (one required parameter, no output schema, no nested objects), the description is adequately minimal. However, it lacks details about the response format or how to interpret the quota information, which would be helpful for an agent to use the result correctly. It meets the minimum viable standard but leaves gaps.

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 100% for the single parameter (auth_key). The description adds no extra meaning beyond the schema's 'DeepL Auth Key'. Baseline score of 3 is appropriate as the schema already documents the parameter, and the description does not provide additional context or format details.

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 clearly states the action: 'Get DeepL API usage and quota information'. It specifies the scope 'for the current billing period', which distinguishes it from sibling tools like deepl_list_languages or deepl_translate_text. The verb 'Get' and resource 'usage and quota information' are specific and unambiguous.

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?

Usage context is implied but not explicit. The description indicates when to use the tool (to retrieve usage/quota info), but does not specify when not to use it or mention alternative tools. No explicit guidance on prerequisites or common scenarios.

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