study_cancel

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does state meaningful behavior: pending launches are stopped, active process groups are canceled, and results are preserved. However, it omits details about irreversibility, partial failures, or how cancellation affects already-completed results.

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?

The description is a single, front-loaded sentence with no filler or redundant information. Every word contributes to the core action and a key guarantee ('preserve results').

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 one-parameter cancel tool with an output schema, the core action is covered, but the description lacks usage guidance and parameter semantics. An agent could likely invoke it correctly, but it would have to infer when to choose this over job_cancel and what study_id refers to.

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 never mentions study_id or explains how it identifies the target study. The schema only provides the title 'Study Id', so the agent receives no added semantic meaning about the parameter.

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 uses specific verbs ('Stop', 'cancel') and identifies the resources ('pending launches', 'active process groups'), making the tool's core function clear. It does not explicitly differentiate from sibling tools like job_cancel, but the study context and 'process groups' phrasing provide enough distinction.

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 gives no guidance on when to use this tool versus alternatives such as job_cancel, study_resume, or study_status. There are no stated conditions, exclusions, or references to sibling tools, leaving the agent to infer appropriate usage from the name alone.

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