invoke_agent
Send a message to an Agent over the A2A protocol and get its response. Long-running Tasks inherit the calling Agent run timeout and can reconnect by Task ID. Important: relay the complete returned result to the user — do not just reply
This record as markdown: /tools/a2wave/invoke-agent.md
What invoke_agent does on A2wave
AI agents invoke invoke_agent to trigger actions in A2wave. 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.
Why invoke_agent is rated High
Invokes external agents to execute arbitrary tasks with inherited timeouts and reconnection capabilities, creating uncontrolled side effects.
From the tool's definition Send a message to an Agent over the A2A protocol and get its response. Long-running Tasks.
Attacks that exploit this kind of access
The rule that runs invoke_agent safely
PolicyLayer is an MCP gateway: it sits between your AI agents and A2wave, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For invoke_agent, this is the rule to start with:
invoke_agent 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 A2wave, apply this rule, and every invoke_agent call is checked against it from then on.
Questions about invoke_agent
Send a message to an Agent over the A2A protocol and get its response. Long-running Tasks inherit the calling Agent run timeout and can reconnect by Task ID. Important: relay the complete returned result to the user — do not just reply. It is categorised as a Execute tool in the A2wave MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the A2wave MCP server in PolicyLayer and add a rule for invoke_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 A2wave. Nothing to install.
invoke_agent 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 invoke_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 invoke_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.
invoke_agent is provided by the A2wave MCP server (LilithGames/a2wave). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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