inference_get_serverless_inference

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

Annotations are absent, so the description should carry the burden. It clarifies that it returns an API key, which is a security highlight, but does not disclose whether it is a read-only operation or if sensitive data is exposed. No mention of permissions or side effects, so value beyond what the name already implies is limited.

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 short docstring with clear sections for arguments and returns. It is efficient and front-loads the purpose. No fluff, though the 'Returns' line is slightly redundant with the purpose.

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 there is a single parameter and an output schema exists, the description covers the essentials. The return value mentions 'detailed inference subscription information including API key', which is likely sufficient for an agent to use. Since that description conveys the return shape, and output schema is present, the completeness is high.

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 description coverage is 0%, so the description must compensate. It explains the parameter accepts an ID or label, adding meaning beyond the raw schema, which only says 'string'. However, it does not elaborate on format nuances beyond the example, so it is adequate but not thorough.

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 states that it retrieves detailed information about a specific inference subscription. The verb 'Get' and resource 'inference subscription' are clear. It is distinguished from siblings like 'inference_update_serverless_inference' or 'inference_delete_serverless_inference' by the action, but not explicitly named as an alternative.

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 implies use when you need details on a single subscription, but does not explicitly state when to use it versus listing or creating. No exclusions or alternatives are given.

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