flocks_executeAgent
Execute a task on a canonical agent through Runner admission and a Roost node (POST /v1/flocks/agents/{agent_id}/execute)
This record as markdown: /tools/onesi-genesis-mcp/flocks-executeagent.md
What flocks_executeAgent does on Genesis
AI agents invoke flocks_executeAgent to trigger actions in Genesis. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
body | object | Yes | |
agent_id | string | Yes | Canonical agent id |
Parameters from the server's own tool schema.
Why flocks_executeAgent is rated High
flocks_executeAgent triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Risk signalsAccepts raw HTML/template content (body) · High parameter count (12 properties)
Attacks that exploit this kind of access
The rule that runs flocks_executeAgent safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Genesis, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For flocks_executeAgent, this is the rule to start with:
flocks_executeAgent stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Genesis, apply this rule, and every flocks_executeAgent call is checked against it from then on.
Questions about flocks_executeAgent
Execute a task on a canonical agent through Runner admission and a Roost node (POST /v1/flocks/agents/{agent_id}/execute). It is categorised as a Execute tool in the Genesis MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
flocks_executeAgent accepts 2 parameters: body, agent_id. Required: body, agent_id. The full parameter table on this page comes from the server's own tool schema.
Register the Genesis MCP server in PolicyLayer and add a rule for flocks_executeAgent: 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 Genesis. Nothing to install.
flocks_executeAgent is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the flocks_executeAgent 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 flocks_executeAgent. 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.
flocks_executeAgent is provided by the Genesis MCP server (@onesi/genesis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Genesis, and thousands of servers like it.
Across the catalogue