cancel_study_final

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

With no annotations supplied, the description carries the full behavioral burden. It usefully discloses two post-conditions (nominee stays frozen, result becomes inconclusive), but says nothing about irreversibility, permissions, what happens to the study record afterward, or whether the operation can be retried — significant gaps for a mutating cancel tool.

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 sentence with a front-loaded action and a semicolon-delimited consequence clause; nothing is wasted. Brevity is appropriate, though the space saved is spent on neither usage routing nor parameter clarity.

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?

An output schema exists, so return values need not be explained, and the description does cover the key state outcome. However, for a mutation tool with zero annotations and an undocumented required parameter, the definition omits preconditions and alternative routing that an agent needs to call it 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 0%, so the description must compensate for the single undocumented study_id parameter, and it never mentions the parameter at all. The agent gets no information about which study identifier is expected or any format expectations.

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: "Stop final evaluation," which is more precise than a generic cancel and implies scope at the final-evaluation stage. It does not explicitly contrast with the sibling cancel_study_attempt or cancel_run, so an agent must infer the distinction from the word "final".

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?

There is no when-to-use or when-not-to-use guidance and no mention of the sibling alternatives (cancel_study_attempt, finalize_study) that an agent would need to choose between. The only hint is the phrase "final evaluation," which implies a stage but never states a condition for selection.

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