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

Annotations already declare readOnlyHint=false, destructiveHint=false, openWorldHint=false. The description adds real context beyond that: no training occurs, no version is bound, no money is spent, and the later steps require the approve scope. It stops short of describing what the call returns or its own authorization requirements, but it meaningfully expands on the annotation surface.

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 sentences, no filler. The core action and scope come first, with the clarifying non-effects and hand-off to the approval flow following. Every clause carries information.

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 non-destructive create with no output schema, the description covers what is created and what is explicitly not triggered. It does not say what the call returns (e.g., a project id to use with get_fine_tuning_project) or the scope needed to create the project itself, a small remaining gap.

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 coverage is 83%, so the schema already documents parameters including the optional datasetId and the nested objective object. The description restates the cardinality ('one agent, one objective, optionally the dataset') but adds no syntax, format, or enum detail beyond the schema, so the baseline 3 applies.

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?

States a specific verb and resource ('Open one fine-tuning pass') and immediately bounds the scope: one agent, one objective, optional dataset. It is clearly distinguishable from siblings like freeze_dataset_version or decide_approval, which it names as separate decisions.

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?

Explicitly says what this tool does not do ('trains nothing, binds no version and spends nothing') and routes the agent to the alternatives that handle those steps (freeze_dataset_version, decide_approval) or to a human. This is explicit when/when-not guidance with named alternatives.

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