Send chat message
AI agents invoke chat_send to trigger actions in Anythingllm. 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.
Sending a chat message triggers an external operation on the AnythingLLM platform. It may cause the AI to take further actions, invoke tools, or produce stored conversation records. While not purely destructive or financial, the effects depend heavily on arguments and can have downstream consequences, placing it in Execute.
From the tool's definition 'Send chat message' — triggers an external operation (chat interaction with AnythingLLM platform) whose effects depend on the message content and target workspace/thread
Attacks that exploit this kind of access
Send chat message. It is categorised as a Execute tool in the Anythingllm MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Anythingllm MCP server in PolicyLayer and add a rule for chat_send: 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 Anythingllm. Nothing to install.
chat_send 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 chat_send 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 chat_send. 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.
chat_send is provided by the Anythingllm MCP server (moliver28/anythingllm-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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