upload training file

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

The annotations only provide generic hints (readOnlyHint false, idempotentHint false), so the description carries the burden and fully delivers. It discloses the API route, required auth scope, OWNER/ADMIN minting requirement, multipart request constraints, rate limits, feature-flag gating, billing implications, and unenforced scopes — far beyond the annotation signals.

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 dense but every sentence carries distinct operational value: purpose, return value, downstream usage, request format, auth, rate limits, feature flag, and billing. It front-loads the core purpose and return contract before diving into edge cases.

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?

There is no output schema, yet the description provides the 201 response shape and the key field to use downstream. It also covers failure modes, rate limits, permissions, feature-flag gating, scopes, and billing, making the tool fully callable without external documentation.

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 100% and the schema already documents the only parameter, 'file', including the multipart field requirement and empty-file behavior. The description adds surrounding error messages and operational context, but it does not significantly enrich the parameter semantics beyond what the schema already states.

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 names the exact operation — uploading a JSONL training or validation file for fine-tuning — and explains the returned provider_file_id is what job creation references. This clearly separates it from sibling tools like list_training_files and create_fine_tuning_job by tying it to the upload lifecycle step.

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?

It clearly states when this tool fits in the workflow: before creating a fine-tuning job, and it even specifies which fields in POST /v1/fine_tuning/jobs should use provider_file_id. It does not explicitly list when-not-to-use or alternatives, but there is no same-purpose sibling, so the context is unambiguous.

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