chat_with_instance

Chat with your private subscribed instance of an agent. This is the real runtime path with user-owned state and credentials.

SERVERProAgentStore SOURCEhttps://mcp.proagentstore.online/mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-proagentstore-platform/chat-with-instance.md

WHAT IT DOES

What chat_with_instance does on ProAgentStore

AI agents invoke chat_with_instance to trigger actions in ProAgentStore. 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 chat_with_instance is rated High

This tool triggers execution of a live agent instance in a real runtime environment with user-owned state and credentials. It is not a passive read — it actively drives agent behavior that can have side effects depending on what the agent does.

From the tool's definition 'Chat with your private subscribed instance of an agent. This is the real runtime path with user-owned state and credentials.'

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs chat_with_instance safely

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

chat_with_instance Rate-limited

chat_with_instance 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": {
    "chat_with_instance": {
      "limits": [
        {
          "counter": "chat_with_instance_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 ProAgentStore, apply this rule, and every chat_with_instance call is checked against it from then on.

FAQ

Questions about chat_with_instance

What does the chat_with_instance tool do? +

Chat with your private subscribed instance of an agent. This is the real runtime path with user-owned state and credentials. It is categorised as a Execute tool in the ProAgentStore MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on chat_with_instance? +

Register the ProAgentStore MCP server in PolicyLayer and add a rule for chat_with_instance: 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 ProAgentStore. Nothing to install.

What risk level is chat_with_instance? +

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

Can I rate-limit chat_with_instance? +

Yes. Add a rate_limit block to the chat_with_instance 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 chat_with_instance completely? +

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

chat_with_instance is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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