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mcp-adr-analysis-server

mcp-adr-analysis-server

by tosin2013
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

analyze_adr_timeline

Read-onlyIdempotent

Analyze ADR timelines to identify staleness, implementation lag, and technical debt. Receive a prioritized action queue with effort estimates, auto-adapted to your project's maturity phase.

Instructions

Analyze ADR timeline with smart time tracking, adaptive thresholds, and actionable recommendations. Auto-detects project context (startup/growth/mature) and generates prioritized work queue based on staleness, implementation lag, and technical debt.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "analyze_adr_timeline"
  }
}

Input Schema

NameRequiredDescriptionDefault
projectPathNoPath to the project directory.
adrDirectoryNoDirectory containing ADR filesdocs/adrs
forceExtractNoForce timeline extraction even if ADRs have dates
includeContentNoInclude ADR content for better analysis
generateActionsNoGenerate actionable work items with priority and effort estimates
thresholdProfileNoThreshold profile for action generation (auto-detected if not specified)
autoDetectContextNoAuto-detect project phase from git activity and ADR patterns

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.0

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds meaningful behavioral context by disclosing auto-detection of project context, adaptive thresholds, and the generation of a prioritized work queue, which helps the agent understand what happens beyond a simple read operation.

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 compact, two sentences, and front-loads the core action before describing secondary behavior. Some phrasing such as 'smart time tracking' and 'actionable recommendations' is vague and slightly buzzword-heavy, but every sentence contributes useful information.

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

Completeness3/5

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

The description covers the main purpose and high-level outputs, and the annotations handle side-effect expectations. However, there is no output schema, no mention of return shape, and no guidance about when to prefer this over closely related sibling tools, so the definition is not fully complete for a complex, seven-parameter analysis tool.

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 100%, so the parameters are already documented in the input schema. The description does not add detailed parameter semantics, but it does indirectly explain the purpose of context auto-detection and action generation. This matches the baseline expectation when the schema carries 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 identifies the verb and resource: 'Analyze ADR timeline' and lists specific outputs such as 'prioritized work queue' based on staleness, implementation lag, and technical debt. It is more specific than a mere restatement of the title, though it does not explicitly differentiate itself from similar sibling tools like get_staleness_report or get_adr_priorities.

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 implies a use case—analyzing an ADR timeline and getting recommendations—but provides no explicit when-to-use or when-not-to-use guidance. Given the large sibling list with overlapping concepts like staleness, priorities, and gap analysis, an agent gets little help choosing this tool over alternatives.

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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