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

Adds critical behavioral detail beyond the annotations by noting that async:true is REQUIRED to avoid x402 timeout, and by describing the structured outputs. The annotations already declare readOnly, openWorld, and idempotent hints, so the description complements rather than repeats them. No contradiction is present.

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 description is compact and front-loads the purpose, then inputs/outputs, then operational note and keywords. The keywords section is slightly extraneous but the core sentences are efficient and non-repetitive.

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 the presence of an output schema, the description adequately covers purpose, inputs, outputs, and the critical async timeout behavior. It could mention interactions with sibling tools or more specific severity thresholds, but it is sufficient for an agent to select and invoke the tool correctly in most scenarios.

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 only 17%, so the description must compensate, but it only lists a subset of inputs (severity, ai_system_type, affected_stakeholders) and omits the required incident_type. It explains the async parameter but provides no additional context for the parameter meanings beyond their names, leaving a significant gap for a required parameter.

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 description clearly states the tool generates EU AI Act incident response playbooks with regulator notification templates, specifying the verb, resource, and target audience. It distinguishes itself from sibling tools like incident_response_evidence_collector and ai_act_sandbox by focusing specifically on playbook generation for formal EU notification.

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?

Provides an explicit use case: 'Essential for high-risk AI system breaches requiring formal EU notification.' Also gives operational guidance to pass async:true to avoid timeout. However, it does not explicitly name alternatives or when not to use the tool, so it misses the 'when-not/alternatives' component for a 5.

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