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

With no annotations, the description carries the full burden and does substantial work: it discloses that nothing is deleted, that access stops immediately ('from that moment'), and what happens to a queue that ends up with no operators. It omits permission requirements, idempotency, and the failure mode when the person is not on the queue.

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?

A single front-loaded sentence that leads with the action and effect, then adds the two non-obvious consequences. No filler and no restatement 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 two-parameter, non-destructive membership removal with a fully described schema, the description covers the effect, the data-safety profile, and the empty-queue edge case. Only return/confirmation behaviour and permission prerequisites are absent, which are minor here.

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 the schema itself already disambiguates queue from mailbox and person from mailbox address. The description adds no parameter-level meaning of its own, so the baseline of 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 and resource plus the concrete effect: 'Takes a person off a helpdesk queue: they stop seeing its threads from that moment.' An agent immediately knows what changes for the person. It does not name its inverse sibling (add_queue_operator), so sibling differentiation is left to inference.

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 use case is implied by the effect statement, but there is no explicit 'use this when' clause, no exclusion, and no pointer to add_queue_operator for the reverse operation. The clarification about a queue with nobody named on it is behavioural context rather than routing guidance.

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