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

readOnlyHint=true already establishes the safe-read profile, so the bar is lower. The description adds value by naming the event types returned (queued, started, checkpoint saved, epoch completed, errors), but says nothing about pagination, ordering, or volume limits, which matters for a log endpoint.

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?

Three tight sentences: purpose and event scope first, debugging use case second, API mapping last. No filler and the most decision-relevant information is front-loaded.

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 single-parameter read tool with no output schema, the enumeration of event kinds partially substitutes for a return-value spec. Slightly short of complete because log shape (ordering, timestamps, pagination) remains unspecified, but adequate to invoke correctly.

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 fine_tune_id is documented in-schema with a format example (ft-abc123). The description adds no additional parameter meaning, so this is the baseline 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?

Specific verb+resource: 'List the event log of one fine-tuning job' with the event kinds enumerated, which distinguishes it from siblings like together_get_fine_tune (fetch the job) and together_list_fine_tunes (enumerate jobs). It stops short of explicitly naming those alternatives, so it is clear but not fully sibling-differentiated.

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 first place to look when a job failed' gives a concrete usage context and priority ordering, which is genuinely useful routing guidance. It does not name alternatives or state exclusions (e.g., use get_fine_tune for current status only), so it falls short of a 5.

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