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prevention_rules

Destructive

Analyze repeated mistake patterns to generate prevention rules that block similar errors before they occur.

Instructions

Generate prevention rules from repeated mistake patterns

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
minOccurrencesNo
outputPathNo
Behavior2/5

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

The annotations indicate destructiveHint: true, implying the tool may modify or delete data, but the description does not mention any side effects, data changes, or safety considerations. It simply says 'Generate' without clarifying if rules are persisted or transient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is terse but not informative enough for a tool with destructive potential. While it avoids fluff, it omits critical details, making it under-specified rather than efficiently concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the destructive hint and lack of output schema, the description should explain the nature of generated rules, output location, and consequences. It provides none of this, leaving the tool's full implications unclear.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description does not explain the two parameters (minOccurrences, outputPath). It offers no guidance on their meaning, format, or how they affect output, leaving the agent to guess.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Generate' and the resource 'prevention rules', and specifies the input 'from repeated mistake patterns'. It is distinct from sibling tools like 'get_reliability_rules', which retrieves rules, not generates them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives, any prerequisites, or situations to avoid. The description only states what the tool does without any context for decision-making.

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

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