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

The description claims the tool 'logs' violations, implying a write operation, but the annotation sets 'readOnlyHint: true', indicating the tool does not modify state. This is a direct contradiction. Additionally, no other behavioral traits (e.g., authentication, rate limits) are disclosed, and annotations already provide minimal context. The contradiction makes this score 1.

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 3 sentences, efficient, and structured: purpose, parameter list, output mention. It is concise but could be slightly more structured (e.g., bullet points for parameters). No wasted sentences, so a 4.

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 tool's complexity (6 parameters, 4 required, output schema exists), the description provides basic context about output (NIST AI RMF categorization) but fails to mention error conditions, prerequisites, or the contradiction with annotations. The output schema is not detailed in the description, and the behavioral contradiction undermines trust. Completeness is inadequate.

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 low (17%), yet the description only lists the parameter names ('violation type, severity, description, and timestamp') without adding syntax, format, or constraints beyond the schema. It does not explain the 'async' or 'metadata' parameters, which are part of the input schema. The addition is minimal, so a score of 2 is appropriate.

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 logs AI safety violations for compliance reporting, specifying the verb 'logs' and resource 'safety violations'. It also mentions targeting risk management personas and returns structured data based on NIST AI RMF guidelines. However, it does not differentiate from similar sibling tools like 'ai_act_incident_response' or 'safety_guardrail_breach_analyzer', so it scores a 4 rather than a 5.

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?

The description says it is 'ideal for automated incident tracking and regulatory reporting workflows', implying usage context but providing no explicit guidance on when not to use this tool or alternatives. It lacks any exclusion criteria or comparison to sibling tools, resulting in a low score.

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