register_prevention_rule

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

No annotations provided. The description discloses that the tool registers an automated check triggered by an event but does not cover side effects, permissions, or post-creation behavior like immediate activation or modification possibilities.

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 relatively concise with a clear trigger line and structured Args list. However, the emoji and repetition of parameter names could be trimmed slightly without losing clarity.

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?

While parameter details are complete, the description omits any mention of return values or error conditions. Although an output schema exists, the description itself does not address what the tool returns, leaving a 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?

With 0% schema description coverage, the description adds full meaning to all 6 parameters in the Args section, explaining each with examples (e.g., severity values, source_detection_id meaning). This compensates for the schema's lack of descriptions.

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 that the tool converts a missed detection into an automated prevention rule. It distinguishes itself from siblings like delete_prevention_rule and list_prevention_rules by emphasizing the conversion 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?

The description implies usage when converting a missed detection but lacks explicit guidance on when not to use it or alternatives like record_missed_detection or predictive_prevention. No context on prerequisites or exclusions.

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