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

Annotations already declare destructiveHint=true and idempotentHint=true, so the description correctly echoes 'Idempotently remove'. It adds useful context: the dataset is caller-owned and the action happens before TTL, which clarifies ownership and timing. There is no contradiction, and the description adds value beyond the annotations by specifying these details.

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?

One short, front-loaded sentence states the verb, the object, and the key constraints. Every word earns its place, with no filler or repetition of the title.

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 a single parameter and an output schema, the description covers the core operation, ownership, and timing. However, the complete absence of parameter guidance is a notable gap, even though the tool is simple. An agent would still need to infer what dataset_id refers to, so the description is not fully self-sufficient.

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 0%, and the description provides no explanation of dataset_id – what it represents, how to obtain it, or any format expectations. With a single parameter and zero coverage, the description fails to compensate, leaving the agent without guidance on what value to supply.

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 clearly states the action (remove) and the resource (a staged dataset), and adds scoping ('caller-owned', 'before its TTL') that distinguishes it from sibling tools like stage_url or query_dataset. An agent can immediately grasp what this tool does without inspecting other definitions.

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 description implies the usage context – you release a staged dataset you own before its TTL – but it does not explicitly mention when not to use it or compare it to alternatives like stage_url or inspect_dataset. There is no guidance on selecting this tool over others, so it falls short of the level of explicit routing seen in get_calls.

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