propose_work
Create a new shared work-graph item (lab_work_items) so it is visible and coordinated across sessions and agents. Set depends_on to gate this item behind others (it starts blocked until they complete). Optionally pre-assign to an agent OR a user. [write-tier — first use may require a manager's ap...
This record as markdown: /tools/com-getfreedomos-freedom-mcp/propose-work.md
What propose_work does on Freedom Mcp
AI agents use propose_work to create or update resources in Freedom Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Freedom Mcp environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
kind | string | — | Kind of work (e.g. task, review, content). Default "task". |
title | string | Yes | Short title of the work item. |
payload | object | — | Optional structured detail for the item. |
companyId | string | Yes | FreedomOS company id to act within (you must be a member). Required for company-scoped tools. |
depends_on | array | — | Optional array of lab_work_items UUIDs this item is blocked by. |
assignee_user_id | string | — | Optional auth user UUID to assign (human owner). Cannot be combined with assignee_agent_id. |
assignee_agent_id | string | — | Optional linnet_agents UUID to assign (agent owner). |
Parameters from the server's own tool schema.
Why propose_work is rated Medium
This tool creates and modifies work items in a shared work-graph system, making it a reversible write operation. It does not delete data (ruling out Destructive), does not move money (ruling out Financial), and does not directly execute external code or shell commands (ruling out Execute). While it may require approval, the core function is creating and organizing workflow data.
From the tool's definition Tool description explicitly states 'Create a new shared work-graph item' and can 'pre-assign to an agent OR a user', indicating data creation and modification.
Risk signalsAccepts raw HTML/template content (payload)
Attacks that exploit this kind of access
The rule that runs propose_work safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Freedom Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For propose_work, this is the rule to start with:
propose_work 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 Freedom Mcp, apply this rule, and every propose_work call is checked against it from then on.
Questions about propose_work
Create a new shared work-graph item (lab_work_items) so it is visible and coordinated across sessions and agents. Set depends_on to gate this item behind others (it starts blocked until they complete). Optionally pre-assign to an agent OR a user. [write-tier — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time.]. It is categorised as a Write tool in the Freedom Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
propose_work accepts 7 parameters: kind, title, payload, companyId, depends_on, assignee_user_id, assignee_agent_id. Required: title, companyId. The full parameter table on this page comes from the server's own tool schema.
Register the Freedom MCP server in PolicyLayer and add a rule for propose_work: 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 Freedom Mcp. Nothing to install.
propose_work 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 propose_work 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 propose_work. 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.
propose_work is provided by the Freedom MCP server (https://twuluxmoognlwtmaoqgo.supabase.co/functions/v1/freedom-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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