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create_rule_set

Generate structured rule sets from architectural decision records and code patterns to document and enforce architecture decisions in machine-readable JSON or YAML format.

Instructions

Create machine-readable rule set in JSON/YAML format

Input Schema

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

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

With no annotations, the description carries full burden but only states basic creation. It does not disclose what happens on duplicate names, overwrites, side effects, or required permissions.

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 extremely concise (one sentence) and front-loaded with key action and resource. However, it sacrifices important details for brevity.

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 7 parameters, no output schema, and no behavioral context, the description is incomplete. It lacks information on return values, error cases, and the distinction between rule types (adrRules, patternRules, rules).

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?

All parameters are described in the input schema (100% coverage). The tool description adds no additional meaning beyond pointing to JSON/YAML format, which is already covered by the outputFormat parameter enum. Baseline 3 is appropriate.

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 action ('Create') and resource ('machine-readable rule set'), with format specification ('JSON/YAML'). It is specific enough to distinguish from related siblings like 'generate_rules' which focuses on generation from code patterns.

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 like 'generate_rules' or 'validate_rules'. The description does not mention prerequisites or scenarios for creation.

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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