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

The annotations already declare destructive=true, idempotent=true and openWorld=false, so the mutation profile is largely covered. The description does add genuine context beyond that: an approval gate, a client-support restriction, and the external side effects of updating scheduled emails and calendar feeds. It omits what happens on fingerprint mismatch or partial-selection failure, which matters for a destructive commit.

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?

Two sentences, front-loaded with the approval gate, and the side-effect warning follows. The phrasing is dense and telegraphic ('only with person approval for this exact selection'), but nothing is redundant.

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 four-parameter, fully-required destructive mutation with no output schema, the description covers the critical safety facts: approval requirement, unsupported-client block, and downstream effects. What remains missing is error behavior around the fingerprint check and what the caller receives on success, a modest gap.

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 each parameter carries a description, so the baseline is adequate. The description adds a little meaning on top: 'this exact selection' clarifies that selectedProposalIds must be the user-reviewed set rather than a broad or inferred selection, which is a semantic constraint the schema alone does not convey.

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 verb 'apply' plus the object 're-read findings'/'contract reconciliation' identifies this as the commit step for a re-read run, which is distinguishable from read-side siblings like clm_get_contract_reconciliation and clm_list_contract_reconciliations. It stops short of naming those siblings explicitly, so differentiation is implied rather than stated.

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?

It states a hard precondition (person approval for this exact selection) and a when-not case (unsupported clients cannot apply), which is real usage guidance. However, it does not route the agent to the alternative steps (e.g., fetching or listing the reconciliation first to obtain the run ID and proposals), so the surrounding workflow must be inferred.

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