complete_omnifocus_task
Marks an OmniFocus task as complete by task ID or name. Requires confirm=true.
This record as markdown: /tools/com-local-mcp-local-mcp/complete-omnifocus-task.md
What complete_omnifocus_task does on Local
AI agents use complete_omnifocus_task to create or update resources in Local, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Local environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
confirm | boolean | — | |
task_id | string | — | |
task_name | string | — |
Parameters from the server's own tool schema.
Why complete_omnifocus_task is rated Medium
This tool modifies data (task completion status) reversibly—a task can be marked incomplete again. It does not delete data (Destructive), execute arbitrary code (Execute), involve financial transactions (Financial), or merely read data (Read). The medium severity reflects that bulk misuse could disrupt a user's task management system, but individual task completions are recoverable.
From the tool's definition Tool description states it 'Marks an OmniFocus task as complete', which modifies task state. The 'confirm=true' requirement indicates intentional safeguard against accidental invocation.
Attacks that exploit this kind of access
The rule that runs complete_omnifocus_task safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Local, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For complete_omnifocus_task, this is the rule to start with:
complete_omnifocus_task 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Local, apply this rule, and every complete_omnifocus_task call is checked against it from then on.
Questions about complete_omnifocus_task
Marks an OmniFocus task as complete by task ID or name. Requires confirm=true. It is categorised as a Write tool in the Local MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
complete_omnifocus_task accepts 3 parameters: confirm, task_id, task_name. The full parameter table on this page comes from the server's own tool schema.
Register the Local MCP server in PolicyLayer and add a rule for complete_omnifocus_task: 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 Local. Nothing to install.
complete_omnifocus_task is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the complete_omnifocus_task 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 complete_omnifocus_task. 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.
complete_omnifocus_task is provided by the Local MCP server (local-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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