reopen_todo
Reopen a completed Planner ToDo by raw todoId or human locator, including a document attachment locator, by clearing doneOn. Human locators search completed ToDos by default; raw todoId locators target that exact ToDo.
This record as markdown: /tools/io-github-dearlordylord-huly-mcp/reopen-todo.md
What reopen_todo does on Huly
AI agents call reopen_todo to retrieve information from Huly without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why reopen_todo is rated Low
Even though reopen_todo 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
The rule that runs reopen_todo safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Huly, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For reopen_todo, this is the rule to start with:
reopen_todo is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Huly, apply this rule, and every reopen_todo call is checked against it from then on.
Questions about reopen_todo
Reopen a completed Planner ToDo by raw todoId or human locator, including a document attachment locator, by clearing doneOn. Human locators search completed ToDos by default; raw todoId locators target that exact ToDo. It is categorised as a Read tool in the Huly MCP Server, which means it retrieves data without modifying state.
Register the Huly MCP server in PolicyLayer and add a rule for reopen_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.
reopen_todo is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the reopen_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.
Set action: deny in the PolicyLayer policy for reopen_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.
reopen_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.
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