get_workflow_step_dependency_bottleneck

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

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What get_workflow_step_dependency_bottleneck does on Todo for AI MCP Server

AI agents call get_workflow_step_dependency_bottleneck to retrieve information from Todo for AI MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_workflow_step_dependency_bottleneck is rated Low

Even though get_workflow_step_dependency_bottleneck only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

get_workflow_step_dependency_bottleneck Allowed

get_workflow_step_dependency_bottleneck is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_workflow_step_dependency_bottleneck": {}
  }
}

ALLOW ONLY 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 get_workflow_step_dependency_bottleneck call is checked against it from then on.

FAQ

Questions about get_workflow_step_dependency_bottleneck

What does the get_workflow_step_dependency_bottleneck tool do? +

Workflow step dependency bottleneck analysis. Computes DAG critical path (longest duration path) per workflow, identifies bottleneck steps by their share of total critical path time. Reveals which steps dominate workflow execution time. It is categorised as a Read tool in the Todo for AI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_workflow_step_dependency_bottleneck? +

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

get_workflow_step_dependency_bottleneck is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_workflow_step_dependency_bottleneck? +

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

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

get_workflow_step_dependency_bottleneck 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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