team_manager_resume_agent
Return the latest checkpoint context for an agent and mark it resumed in MongoDB. The MCP host is responsible for restarting the actual worker.
This record as markdown: /tools/0xadvait-team-manager-mcp/team-manager-resume-agent.md
What team_manager_resume_agent does on Team Manager MCP
AI agents use team_manager_resume_agent 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_resume_agent is rated Medium
This tool performs a Write operation because it modifies data in MongoDB (marking an agent's resume state). While it also retrieves data (latest checkpoint context), the primary function is to update persistent state. The severity is medium because misuse could cause workflow disruptions or incorrect agent state management, but it doesn't delete data, execute arbitrary code, or affect finances.
From the tool's definition Tool description states it will 'mark it resumed in MongoDB,' which is a modification operation. The tool updates state in the database (marking an agent as resumed) and retrieves checkpoint context.
Attacks that exploit this kind of access
The rule that runs team_manager_resume_agent 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_resume_agent, this is the rule to start with:
team_manager_resume_agent 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_resume_agent call is checked against it from then on.
Questions about team_manager_resume_agent
Return the latest checkpoint context for an agent and mark it resumed in MongoDB. The MCP host is responsible for restarting the actual worker. 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_resume_agent: 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_resume_agent 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_resume_agent 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_resume_agent. 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_resume_agent 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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