agent_branch_status
Return manifest and recorded result for one planned agent branch.
This record as markdown: /tools/mcp-control-plane/agent-branch-status.md
What agent_branch_status does on Mcp Control Plane
AI agents call agent_branch_status to retrieve information from Mcp Control Plane without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why agent_branch_status is rated Low
This tool retrieves and returns information about a planned agent branch (manifest and recorded result). The verb 'Return' indicates it fetches existing data without creating, modifying, deleting, or executing operations. It has no side effects and presents minimal risk for misuse.
From the tool's definition Tool description states 'Return manifest and recorded result' - uses passive retrieval verbs indicating query-only operation with no state modification.
Attacks that exploit this kind of access
The rule that runs agent_branch_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Control Plane, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For agent_branch_status, this is the rule to start with:
agent_branch_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Control Plane, apply this rule, and every agent_branch_status call is checked against it from then on.
Questions about agent_branch_status
Return manifest and recorded result for one planned agent branch. It is categorised as a Read tool in the Mcp Control Plane MCP Server, which means it retrieves data without modifying state.
Register the Mcp Control Plane MCP server in PolicyLayer and add a rule for agent_branch_status: 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 Mcp Control Plane. Nothing to install.
agent_branch_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the agent_branch_status 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 agent_branch_status. 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.
agent_branch_status is provided by the Mcp Control Plane MCP server (albertik322-sudo/mcp-control-plane). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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