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mcp-adr-analysis-server

mcp-adr-analysis-server

by tosin2013
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

tool_chain_orchestrator

Analyze user requests and generate structured tool execution plans with AI-powered sequencing, supporting parallel steps and multiple execution modes.

Instructions

AI-powered dynamic tool sequencing - intelligently analyze user requests and generate structured tool execution plans

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "userRequest": "<userRequest>"
    },
    "name": "tool_chain_orchestrator"
  }
}

Input Schema

NameRequiredDescriptionDefault
maxStepsNoMaximum number of steps in the execution plan
userRequestYesUser request to analyze and create tool execution plan for
contextHintsNoAdditional context hints for better plan generation
allowParallelNoAllow parallel execution of independent steps
executionModeNoOrchestration modeplan_only
availableToolsNoList of available MCP tools to orchestrate

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already provide readOnlyHint=false and destructiveHint=false, but the description doesn't add behavioral context beyond saying it 'generates plans'. It remains unclear whether the tool actually executes the planned tools or only returns the plan. The vague 'AI-powered' wording doesn't clarify side effects or response behavior, leaving the agent uncertain about its operational characteristics.

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 a single, concise sentence with no redundancy. It front-loads the core concept ('AI-powered dynamic tool sequencing') and immediately states the action ('generate structured tool execution plans'). This is an exemplary model of brevity and clarity.

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?

While the schema is fully described, the description omits essential context such as the format or structure of the output plan, whether the plan includes tool parameters, and any limitations (e.g., if only certain tools are supported). Since there is no output schema, the description should compensate but doesn't, leaving the agent uncertain about the expected return value.

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?

The schema description coverage is 100% (all six parameters have descriptions), so the baseline is 3. The description adds no additional meaning to the parameters beyond what's already in the schema, such as clarifying how 'contextHints' or 'executionMode' affect plan generation. It doesn't provide extra semantic value.

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 tool's purpose: it analyzes user requests and generates structured tool execution plans. It uses a specific verb ('generate') and resource ('tool execution plans'), distinguishing it from the many domain-specific sibling tools. However, it doesn't explicitly differentiate from other planning tools like 'mcp_planning' or 'interactive_adr_planning', so it's not fully unique.

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. It doesn't mention scenarios, prerequisites, or why a user would choose it over sibling planning tools. This is a significant gap for an orchestrator that likely competes with similar tools in the list.

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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