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validate_adr

Check an existing ADR against real infrastructure using research analysis and live environment verification to identify inconsistencies and validate architectural decisions.

Instructions

Validate an existing ADR against actual infrastructure reality using research-driven analysis. TIP: Compare findings against patterns in @.mcp-server-context.md for consistency checks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
adrPathYesPath to the ADR file to validate (relative or absolute)
projectPathNoPath to the project directory.
adrDirectoryNoDirectory containing ADR filesdocs/adrs
includeEnvironmentCheckNoInclude live environment verification in validation
confidenceThresholdNoMinimum research confidence threshold (0-1)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions research-driven analysis but does not disclose whether the tool is read-only, modifies state, requires network access, or has performance implications. 'Validate' implies no destructive action, but this is not explicit.

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 two sentences with a tip, very concise and front-loaded with the main action. No extraneous 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?

Despite no output schema, the description does not explain what the tool returns (e.g., validation report, pass/fail, details). It lacks context on how results are presented, which is critical for an agent to use the tool effectively. Also missing prerequisites or limitations.

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 five parameters have full descriptions in the input schema (100% coverage), so the description adds no extra semantic value beyond the schema. Baseline 3 is appropriate.

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 tool validates an ADR against infrastructure reality using research-driven analysis. It distinguishes from sibling tools like validate_adr_compliance or validate_all_adrs by specifying the context (infrastructure reality).

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 no guidance on when to use this tool versus alternatives like validate_adr_compliance. The tip about comparing patterns is helpful but does not address selection criteria 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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