retry_workflow_run

Retry a failed workflow by resetting failed/skipped steps and re-advancing the DAG.

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

High RISK CLASS

Category Execute

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/retry-workflow-run.md

WHAT IT DOES

What retry_workflow_run does on Todo for AI MCP Server

AI agents invoke retry_workflow_run to trigger actions in Todo for AI MCP Server. 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.

RISK

Why retry_workflow_run is rated High

retry_workflow_run triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs retry_workflow_run 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 retry_workflow_run, this is the rule to start with:

retry_workflow_run Rate-limited

retry_workflow_run 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "retry_workflow_run": {
      "limits": [
        {
          "counter": "retry_workflow_run_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-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 retry_workflow_run call is checked against it from then on.

FAQ

Questions about retry_workflow_run

What does the retry_workflow_run tool do? +

Retry a failed workflow by resetting failed/skipped steps and re-advancing the DAG. It is categorised as a Execute tool in the Todo for AI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on retry_workflow_run? +

Register the Todo for AI MCP Server MCP server in PolicyLayer and add a rule for retry_workflow_run: 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 retry_workflow_run? +

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

Can I rate-limit retry_workflow_run? +

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

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

retry_workflow_run 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.

KEEP EXPLORING

More on Todo for AI MCP Server, and thousands of servers like it.

This server

All 244 Todo for AI MCP Server tools → High-risk tools on this server →

Across the catalogue

run on 0sec →shortcuts_run on Apple Apps MCP →run_emba_scan on EMBA-MCP → All high-risk MCP tools → The MCP Attack Database →

Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →