pine_send_message

A execute tool on the Pine Assistant MCP server.

SERVERPine Assistant MCP Server SOURCE19pine-ai/pine-mcp-server

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/19pine-ai-pine-mcp-server/pine-send-message.md

WHAT IT DOES

What pine_send_message does on Pine Assistant MCP Server

AI agents invoke pine_send_message to trigger actions in Pine Assistant 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.

RISK

Why pine_send_message is rated High

The server's core purpose is to act as an agent making real-world calls and negotiations on behalf of users. 'pine_send_message' likely triggers outbound communications or agent actions within that pipeline. Given the context of financial negotiations and cancellations, sending a message could initiate or advance consequential external operations.

From the tool's definition Tool name 'pine_send_message' on a server described as handling bill negotiation, subscription cancellation, dispute resolution, and phone calls on behalf of users; sibling tools include session creation/deletion, form responses, and location responses

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pine_send_message safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Pine Assistant MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pine_send_message, this is the rule to start with:

pine_send_message Rate-limited

pine_send_message 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "pine_send_message": {
      "limits": [
        {
          "counter": "pine_send_message_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Pine Assistant MCP Server, apply this rule, and every pine_send_message call is checked against it from then on.

FAQ

Questions about pine_send_message

What does the pine_send_message tool do? +

pine_send_message is a execute tool on the Pine Assistant MCP Server MCP server. It is categorised as a Execute tool in the Pine Assistant MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on pine_send_message? +

Register the Pine Assistant MCP Server MCP server in PolicyLayer and add a rule for pine_send_message: 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 Pine Assistant MCP Server. Nothing to install.

What risk level is pine_send_message? +

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

Can I rate-limit pine_send_message? +

Yes. Add a rate_limit block to the pine_send_message 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.

How do I block pine_send_message completely? +

Set action: deny in the PolicyLayer policy for pine_send_message. 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 pine_send_message? +

pine_send_message is provided by the Pine Assistant MCP Server MCP server (19pine-ai/pine-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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