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

Adds real context beyond the annotations: an optimistic-concurrency guard where nothing is written on count mismatch, plus permission ('members who may write only') and plan gating ('only where the company's plan includes AI'). It does not say what 'reject' does to a term afterward or whether it can be undone, which matters given destructiveHint=true.

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 core action is front-loaded and each following sentence carries a distinct rule: precondition, failure mode, safety instruction, permissions, plan gate. No filler despite the density of the first sentence.

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 bulk destructive mutation with no output schema, it covers preconditions, failure semantics, permissions and plan gating. The gaps are the effect/reversibility of 'reject' and the shape of the response beyond the count-mismatch case.

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%, so baseline is 3. The description ties 'source' and 'expected' back to list_terms' output ('total' with state 'proposed'), which is helpful cross-tool guidance, but it adds nothing about 'kind' and little syntax beyond the schema.

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 pair and resource with exact scope: 'Confirm or reject every PROPOSED term of one source at once', and anchors the behavior to a known UI action ('Confirm all on this page'). That clearly separates it from list_terms (read), set_term (single term) and decide_persons.

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?

Gives an explicit prerequisite and workflow: read first with list_terms using the same 'source', then pass 'expected' from that read. It also states the recovery path when the count drifted ('read the list again') and a scoping rule ('Confirm only what the person asked for').

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