get fine tuning bakeoff

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

Annotations already mark this as read-only, idempotent, and non-destructive, and the description adds valuable behavioral detail beyond them: the special 403 owner/admin requirement, 404 conditions, status semantics, the holdout_present meaning, and a closing 'Read-only, no spend' confirmation. No contradiction with the annotations.

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?

Despite being long, every clause earns its place because there is no output schema to carry return semantics. The opening sentence front-loads the core purpose, then the return contract and edge cases are organized in a readable sequence. No filler or repetition.

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?

For a tool with one simple parameter, no output schema, and meaningful conditional behavior, the description is unusually complete: it covers the response shape, failure modes, permission requirements, feature-flag behavior, and the no-holdout case. An agent has enough information to invoke it correctly and interpret its results.

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 schema already documents the only parameter, id, with 100% coverage, so baseline 3 applies. The description confirms the id appears in the endpoint path but adds no additional parameter-level format, constraints, or examples beyond what the schema provides.

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 starts with a precise verb and resource: 'Read a fine-tune's bake-off state, verdict ... and ledger-true spend'. It also states the decision context ('to decide whether the tuned model is worth deploying'), making the purpose unmistakable and distinguishing it from sibling mutation tools like start_fine_tuning_bakeoff.

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?

Provides clear context on when to use the tool and important exclusions: requires an OWNER/ADMIN minting user, returns 404 when the job is not in the workspace or when the feature flag is off, and explains when a comparison cannot be offered. It does not explicitly name sibling alternatives, but the read/bakeoff naming plus the 'Unlike other GETs' note gives sufficient routing guidance.

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