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

Annotations already indicate destructive and non-read-only behavior. The description adds meaningful behavioral context: accepting creates a new version and invalidates prior confirmations. This goes beyond the structured hints and helps the agent understand the consequences. It does not contradict annotations.

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 concise sentences, front-loaded with the critical precondition and reason requirement. Every sentence adds value without fluff, and the structure is clear and scannable.

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?

Given it's a destructive mutation with no output schema, the description covers the essential points: when to call, reason required, and the effect of acceptance. It does not explain rejection behavior or the IDs, but for a decision action it is reasonably complete, though it could mention what happens on rejection.

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 0% and the description provides no parameter-level explanations. It only indirectly mentions 'action' and 'reason' but does not explain requestId or proposalId, nor the meaning of ACCEPT vs REJECT beyond the action. The description fails to compensate for the missing schema documentation.

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?

Description states a specific verb ('respond' to a cooperation proposal) and the two possible actions (ACCEPT/REJECT), and clarifies the precondition (user must review original, suggestion, reason). This clearly differentiates from sibling tools like respond_cooperation_request or confirm_cooperation_version by focusing on the proposal response action.

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?

Explicitly states when to call: only after the user has reviewed the original text, suggestion, and reason and made a clear ACCEPT/REJECT decision. It also mandates a reason. However, it does not explicitly mention alternatives or when not to use this tool, leaving some inference to the agent.

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