New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

schedule_todo

Schedule a Planner ToDo by raw todoId or human locator. Creates a Planner-visible blocking work slot on the authenticated user

SERVERHuly SOURCE@firfi/huly-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/io-github-dearlordylord-huly-mcp/schedule-todo.md

What schedule_todo does on Huly

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

Why schedule_todo is rated Medium

This tool creates a new blocking work slot in the user's planner, which is a reversible modification of planning data. It does not execute external code or commands (Execute), delete anything (Destructive), or move money (Financial).

From the tool's definition The tool description explicitly states 'Creates a Planner-visible blocking work slot on the authenticated user,' which indicates data creation/modification.

Questions about schedule_todo

What does the schedule_todo tool do? +

Schedule a Planner ToDo by raw todoId or human locator. Creates a Planner-visible blocking work slot on the authenticated user. It is categorised as a Write tool in the Huly MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on schedule_todo? +

Register the Huly MCP server in PolicyLayer and add a rule for schedule_todo: 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 Huly. Nothing to install.

What risk level is schedule_todo? +

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

Can I rate-limit schedule_todo? +

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

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

schedule_todo is provided by the Huly MCP server (@firfi/huly-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Huly, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Huly's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.