team_manager_emit_result
Store the final result for any governed room: decision, deliverable, implementation plan, report, checkpoint, or other task outcome, with claim-to-evidence audit records.
This record as markdown: /tools/0xadvait-team-manager-mcp/team-manager-emit-result.md
What team_manager_emit_result does on Team Manager MCP
AI agents use team_manager_emit_result 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_emit_result is rated Medium
This tool creates or modifies data by storing task outcomes and audit records in a governed room context. It is reversible (results can be updated or corrected in subsequent operations) and does not delete data, execute code, move money, or trigger external operations based on arbitrary arguments.
From the tool's definition Tool description states it will 'Store the final result' which is a create/modify operation. The mention of 'audit records' indicates persistent data creation.
Attacks that exploit this kind of access
The rule that runs team_manager_emit_result 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_emit_result, this is the rule to start with:
team_manager_emit_result 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_emit_result call is checked against it from then on.
Questions about team_manager_emit_result
Store the final result for any governed room: decision, deliverable, implementation plan, report, checkpoint, or other task outcome, with claim-to-evidence audit records. 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_emit_result: 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_emit_result 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_emit_result 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_emit_result. 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_emit_result 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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