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generate_adr_from_decision

Generate a complete Architecture Decision Record from decision data, including context, decision, and consequences.

Instructions

Generate a complete ADR from decision data. TIP: Reference @.mcp-server-context.md to align with existing architectural patterns and decisions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
adrDirectoryNoDirectory where ADRs are storeddocs/adrs
decisionDataYes
existingAdrsNoList of existing ADRs for numbering and references
templateFormatNoADR template format to usenygard
Behavior2/5

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

No annotations are provided, and the description does not mention any behavioral traits such as whether it overwrites files, requires permissions, or if it is safe. The tool is a generator, but the description lacks these details.

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

Conciseness5/5

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

The description is concise at two sentences: one for the core purpose and one for a helpful tip. No redundant information.

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 complexity (4 parameters, nested objects, no output schema, no annotations), the description is too sparse. It does not explain the output format, how the decision data is used, or any behavioral aspects. More context is needed for an AI agent to invoke it correctly.

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 description coverage is 75%, and the parameters are well-described in the schema itself. The tool description does not add extra meaning beyond the schema. Baseline 3 is appropriate given the schema handles most of the burden.

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 'Generate a complete ADR from decision data,' which is a specific verb+resource. It helps distinguish from siblings like generate_adr_bootstrap or generate_adrs_from_prd, though it could explicitly differentiate 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?

The description provides a tip to reference a context file but does not specify when to use this tool instead of alternatives like generate_adr_bootstrap, nor state prerequisites or exclusions.

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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