team_manager_plan_room
Act as the Team Manager: propose measurement weights, agent roster, execution profiles, memory policy, task-estimated token budgets, and questions for the human before any agents start.
This record as markdown: /tools/0xadvait-team-manager-mcp/team-manager-plan-room.md
What team_manager_plan_room does on Team Manager MCP
AI agents use team_manager_plan_room to create or update resources in Team Manager MCP, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Team Manager MCP environment.
Why team_manager_plan_room is rated Medium
This tool creates or modifies team planning data (roster, profiles, budgets, policies) in a persistent store, making it a Write action. It does not execute operations, delete data, or move money. Severity is medium because misconfiguration of agent rosters and token budgets could waste resources or cause service disruption, but the changes are reversible and require human approval before agents start execution.
From the tool's definition Tool proposes and configures team parameters including 'measurement weights, agent roster, execution profiles, memory policy, task-estimated token budgets' — these are configuration artifacts that are created or modified in the shared MongoDB context managed…
Attacks that exploit this kind of access
The rule that runs team_manager_plan_room safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Team Manager MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For team_manager_plan_room, this is the rule to start with:
team_manager_plan_room 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 Team Manager MCP, apply this rule, and every team_manager_plan_room call is checked against it from then on.
Questions about team_manager_plan_room
Act as the Team Manager: propose measurement weights, agent roster, execution profiles, memory policy, task-estimated token budgets, and questions for the human before any agents start. It is categorised as a Write tool in the Team Manager MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Team Manager MCP server in PolicyLayer and add a rule for team_manager_plan_room: 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 Team Manager MCP. Nothing to install.
team_manager_plan_room 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 team_manager_plan_room 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 team_manager_plan_room. 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.
team_manager_plan_room is provided by the Team Manager MCP server (0xadvait/team-manager-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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