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

Annotations declare idempotentHint=true and destructiveHint=true, so the safety profile is already covered. The description adds real behavioral context beyond that: publishing triggers employee visibility and notifications, which is a side effect an agent should know before invoking.

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 sentence front-loading the WRITE marker and the effect, followed by the endpoint. No wasted text.

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 tool with full schema coverage, no output schema, and annotations covering idempotency/destructiveness, this is nearly complete. It could mention the 500-shift batch limit or whether publishing is reversible, but those are minor gaps.

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 100% and there is a single, well-documented parameter (shift_ids). The description adds no extra detail about the parameter, 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 (publish) and resource (shifts), plus the concrete effect: assigned employees see them and get notified. This clearly separates it from rotacloud_create_shift, rotacloud_update_shift, and rotacloud_list_shifts.

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 conveys when this operation matters (making shifts visible/notifying employees), which implies usage context. It does not, however, name alternatives or state preconditions, such as whether the shifts must already exist or be approved.

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