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

Annotations already flag destructiveHint=true, idempotentHint=false, readOnlyHint=false, but the description adds substantial context beyond them: all-or-nothing semantics, server-side validation with Google, rollback of preceding changes on failure, per-change logging, reversibility via undo_changes, and the stale-proposal 'needs approval' outcome. This is exactly the behavioral disclosure a mutation tool needs.

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?

Front-loads the action and the approval precondition, then layers atomicity, reversibility, and the stale-proposal branch. Every sentence earns its place with no filler.

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?

No output schema exists, yet the description names the salient return condition (status 'needs approval' yielding a fresh proposal) and the failure behavior, so an agent knows what to expect and what to do with the result.

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?

Only one parameter with 100% schema description coverage, so the schema already carries the burden and baseline is 3. The description adds the provenance of the value (a proposal produced by propose_changes) but no format or sourcing detail beyond that.

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 ('Applies a proposal from propose_changes to the account') and names the sibling tool that produces its input. An agent can distinguish it from propose_changes, discard_proposal, and undo_changes immediately.

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 precondition ('Only call this after the user has explicitly approved that proposal') and describes the conditional branch when the account has changed since the proposal — show the new proposal to the user and apply only after approval. It also names undo_changes as the reversal path.

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