create_play_from_activity
Draft a Play (growth_tactics with steps + human review) from an oversized agent activity. Does not run the play — operator Agrees on Focus first. Use when a run hit step/continuation limits because the work is multi-unit. [sensitive-tier — first use may require a manager's approval; a from-now-on...
This record as markdown: /tools/com-getfreedomos-freedom-mcp/create-play-from-activity.md
What create_play_from_activity does on Freedom Mcp
AI agents use create_play_from_activity 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 |
|---|---|---|---|
reason | string | — | |
agent_id | string | — | UUID of the agent. |
companyId | string | Yes | FreedomOS company id to act within (you must be a member). Required for company-scoped tools. |
agent_name | string | — | Name of the agent. Provide this or agent_id. |
draft_steps | array | — | |
draft_title | string | — | |
linked_kr_id | string | — | |
activity_name | string | Yes | Oversized activity to draft a Play from. |
draft_category | string | — | |
draft_goal_impact | string | — | |
draft_custom_instructions | string | — |
Parameters from the server's own tool schema.
Why create_play_from_activity is rated Medium
This is a Write operation: it creates new structured data (a Play object with tactics and steps) in the system. It does not execute or deploy the play, does not delete anything, and does not move money.
From the tool's definition Tool creates or drafts a Play (growth_tactics with steps) from agent activity. The description explicitly states 'Does not run the play — operator Agrees on Focus first', indicating the tool creates/modifies data (a new Play record) reversibly.
Risk signalsHigh parameter count (11 properties)
Attacks that exploit this kind of access
The rule that runs create_play_from_activity 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 create_play_from_activity, this is the rule to start with:
create_play_from_activity 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 create_play_from_activity call is checked against it from then on.
Questions about create_play_from_activity
Draft a Play (growth_tactics with steps + human review) from an oversized agent activity. Does not run the play — operator Agrees on Focus first. Use when a run hit step/continuation limits because the work is multi-unit. [sensitive-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.
create_play_from_activity accepts 11 parameters: reason, agent_id, companyId, agent_name, draft_steps, draft_title, linked_kr_id, activity_name, draft_category, draft_goal_impact, draft_custom_instructions. Required: companyId, activity_name. 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 create_play_from_activity: 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.
create_play_from_activity 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 create_play_from_activity 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 create_play_from_activity. 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.
create_play_from_activity 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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