complete_workflow_step

SERVERTodo for AI MCP Server SOURCEtodo-for-ai/todo-for-ai-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/todo-for-ai-todo-for-ai-mcp/complete-workflow-step.md

WHAT IT DOES

What complete_workflow_step does on Todo for AI MCP Server

AI agents use complete_workflow_step to create or update resources in Todo for AI MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Todo for AI MCP Server environment.

RISK

Why complete_workflow_step is rated Medium

An AI agent can call complete_workflow_step faster than any human can review: one bad instruction and it creates or modifies resources in Todo for AI MCP Server by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs complete_workflow_step safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Todo for AI MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For complete_workflow_step, this is the rule to start with:

complete_workflow_step Rate-limited

complete_workflow_step stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "complete_workflow_step": {
      "limits": [
        {
          "counter": "complete_workflow_step_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Todo for AI MCP Server, apply this rule, and every complete_workflow_step call is checked against it from then on.

FAQ

Questions about complete_workflow_step

What does the complete_workflow_step tool do? +

Mark a workflow step as completed (or failed) and advance the DAG. This is the callback that Agents call when they finish a step. The result_summary is automatically saved to SharedContext for downstream steps. It is categorised as a Write tool in the Todo for AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on complete_workflow_step? +

Register the Todo for AI MCP Server MCP server in PolicyLayer and add a rule for complete_workflow_step: 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 Todo for AI MCP Server. Nothing to install.

What risk level is complete_workflow_step? +

complete_workflow_step is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit complete_workflow_step? +

Yes. Add a rate_limit block to the complete_workflow_step 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 complete_workflow_step completely? +

Set action: deny in the PolicyLayer policy for complete_workflow_step. 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 complete_workflow_step? +

complete_workflow_step is provided by the Todo for AI MCP Server MCP server (todo-for-ai/todo-for-ai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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