// MCP TOOL REFERENCE

deploy_agent

Part of the Agentos MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

// WHEN AI AGENTS USE THIS TOOL

AI agents invoke deploy_agent to trigger processes or run actions in Agentos. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

// WHY ENFORCE A POLICY ON DEPLOY_AGENT

deploy_agent can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

// RECOMMENDED POLICY

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

agentos.yaml

tools:
  deploy_agent:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Agentos policy for all 10 tools.

// DETAILS

Tool Name deploy_agent

Category Execute

MCP Server Agentos MCP Server

Risk Level High

// MORE AGENTOS TOOLS

Write attach_policy Write create_agent Write create_policy Write request_approval Read audit_log Read check_compliance Read get_agent_status Read list_templates

View all 10 tools →

// WHAT CAN GO WRONG

Agents calling execute-class tools like deploy_agent have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

// OTHER EXECUTE TOOLS ACROSS MCP SERVERS

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

Atv build_stake_tx Atv build_unstake_tx Acdp start_local Pentagonal pentagonal_audit Pentagonal pentagonal_compile ACR — Agent Composition Records orient_me

// IN CONTEXT OF HIGH RISK

deploy_agent is one of the high-risk operations in Agentos. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

// RELATED READING

// FAQ

What does the deploy_agent tool do? +

Deploy an agent to start execution. Deployment environments: - local: Runs on your machine (default) - cloud: Runs on AgentOS cloud infrastructure (requires API key) Before deployment, the agent must: - Pass all policy checks - Have valid configuration - Have necessary integrations configured For scheduled agents, deployment starts the scheduler. For triggered agents, deployment enables the triggers.. It is categorised as a Execute tool in the Agentos MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on deploy_agent? +

Add a rule in your Intercept YAML policy under the tools section for deploy_agent. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Agentos MCP server.

What risk level is deploy_agent? +

deploy_agent is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit deploy_agent? +

Yes. Add a rate_limit block to the deploy_agent rule in your Intercept 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.

How do I block deploy_agent completely? +

Set action: deny in the Intercept policy for deploy_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.

What MCP server provides deploy_agent? +

deploy_agent is provided by the Agentos MCP server (@microsoft/agentos-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

deploy_agent

Let agents act without letting them run wild.