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

Annotations already declare it non-read-only but non-destructive, and the description usefully confirms the workout is left unchanged — reinforcing that nothing is deleted. It does not say whether the rejection is final, whether the student is notified, or what happens if the suggestion was already resolved, which matters for a mutation 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 short clause pair, front-loaded with the action and immediately followed by its consequence. Nothing is wasted.

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 mutation with no output schema, the description covers what happens to the workout but omits side effects and post-conditions (notification, finality, error cases). Adequate to make the call, thin on consequences.

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 100% and the schema itself explains that suggestionId comes from list_workout_suggestions, so the description adds no parameter detail. Baseline 3 applies when the schema does the full job.

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 gives a specific verb ('Rejects') and resource ('a student's suggestion') and adds the resulting state ('the workout stays as it is'). It is clearly distinct from the sibling approve_workout_suggestion by name and effect, though it never names that counterpart explicitly.

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 statement of when to reject versus approve, nor any prerequisite or exclusion. The only workflow hint is implicit, coming from the schema's pointer to list_workout_suggestions as the id source.

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