Interacts with an active Jules session (approving plans or sending messages).
AI agents invoke send_reply_to_session to trigger actions in Jules MCP Server. 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.
This tool triggers external operations within a Jules AI session, including approving plans which can cause AI-generated code changes to be executed or synchronized with GitHub repositories. Approving plans has downstream effects that go beyond simple data writes — it initiates automated coding tasks and potential code pushes, making Execute the most appropriate category.
From the tool's definition Interacts with an active Jules session (approving plans or sending messages)
Attacks that exploit this kind of access
Interacts with an active Jules session (approving plans or sending messages). It is categorised as a Execute tool in the Jules MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Jules MCP Server MCP server in PolicyLayer and add a rule for send_reply_to_session: 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 Jules MCP Server. Nothing to install.
send_reply_to_session 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 send_reply_to_session 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 send_reply_to_session. 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.
send_reply_to_session is provided by the Jules MCP Server MCP server (streetquant/jules-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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