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create_rule_set

Generate a structured rule set in JSON or YAML from architectural decision records and code pattern analysis.

Instructions

Create machine-readable rule set in JSON/YAML format

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the rule set
rulesNoAdditional rules to include
authorNoAuthor of the rule setMCP ADR Analysis Server
adrRulesNoRules extracted from ADRs
descriptionNoDescription of the rule setGenerated architectural rule set
outputFormatNoOutput format for rule setjson
patternRulesNoRules generated from code patterns
Behavior2/5

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

No annotations provided, so description must disclose side effects. Only mentions creation; no info on overwriting, permission needs, or return value.

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

Conciseness4/5

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

The description is a single concise sentence that conveys the core purpose without unnecessary words. Could include more details but is not verbose.

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?

With 7 parameters and no output schema, the description is insufficient. It does not explain parameter relationships, return behavior, or typical usage contexts.

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

Parameters3/5

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

Schema coverage is 100% with descriptions for all 7 parameters. The description adds no extra meaning beyond the schema, meeting the baseline.

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

Purpose4/5

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

The description clearly states the verb 'Create' and the resource 'rule set' with formats specified. However, it does not differentiate from sibling tools like 'generate_rules', which could overlap.

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 on when to use this tool versus alternatives like 'generate_rules' or 'validate_rules'. No context on prerequisites or typical scenarios.

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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