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

readOnlyHint=true already tells the agent this is a safe read, so the bar is lower. The description adds the field inventory returned per job, which is modest extra context, but says nothing about pagination, ordering, or what an empty result means. It also embeds the raw endpoint (GET /fine-tunes), which is plumbing rather than behavior.

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?

Two compact sentences, front-loaded with the action and the returned fields. The trailing 'Together: GET /fine-tunes' is redundant internals that adds no decision value, slightly diluting an otherwise tight description.

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 simple read-only list tool with no params and no output schema, the description covers the essentials of what it returns. However, with no output schema present, the description is the only place pagination, ordering, and result shape could be conveyed, and those are absent.

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 tool takes zero parameters and the description correctly describes none, so there is no semantic gap to fill. Baseline 4 applies for a no-param tool; nothing here misleads about inputs.

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 (List) plus resource (fine-tuning jobs), and it enumerates the returned fields (status, base model, output model name, training settings), which distinguishes it from sibling getter read_*_fine_tune (singular) and list_fine_tune_events. An agent can route correctly without inspecting the schema.

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 is implied by the verb (list all fine-tunes), and the sibling names make alternatives inferable, but the description never states when to prefer this over together_list_fine_tune_events or together_get_fine_tune. No exclusions or conditions are given.

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