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tdd_workflow

Start a Test-Driven Development workflow with Red-Green-Refactor cycles

How to control tdd_workflow ↓

What tdd_workflow does on Structured Workflow MCP

AI agents invoke tdd_workflow to trigger actions in Structured Workflow MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

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Why tdd_workflow needs a policy

The tool initiates an automated workflow that runs code (tests) and performs refactoring operations whose effects depend on the codebase being tested. While not destructive in itself (workflows can be reversed), it executes external operations (test execution, code analysis, and refactoring) that have effects beyond simple read or write operations. This makes it Execute rather than Write.

From the tool's definition Tool description states it 'Start[s] a Test-Driven Development workflow with Red-Green-Refactor cycles', which involves triggering and orchestrating a multi-phase development process that executes testing and code refactoring operations.

Documented attack patterns abuse exactly the kind of access tdd_workflow gives an agent:

How to control tdd_workflow

PolicyLayer is an MCP gateway — it sits between your AI agents and Structured Workflow MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for tdd_workflow:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "tdd_workflow": {
      "limits": [
        {
          "counter": "tdd_workflow_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

tdd_workflow stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Structured Workflow MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about tdd_workflow

What does the tdd_workflow tool do? +

Start a Test-Driven Development workflow with Red-Green-Refactor cycles. It is categorised as a Execute tool in the Structured Workflow MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on tdd_workflow? +

Register the Structured Workflow MCP server in PolicyLayer and add a rule for tdd_workflow: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Structured Workflow MCP. Nothing to install.

What risk level is tdd_workflow? +

tdd_workflow is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit tdd_workflow? +

Yes. Add a rate_limit block to the tdd_workflow rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block tdd_workflow completely? +

Set action: deny in the PolicyLayer policy for tdd_workflow. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides tdd_workflow? +

tdd_workflow is provided by the Structured Workflow MCP server (kingdomseed/structured-workflow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Structured Workflow MCP tool call.

Start from Structured Workflow MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

20 Structured Workflow MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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