instance_messages
Read recent messages from one of your private subscribed instances, newest page first. The response carries
This record as markdown: /tools/io-github-proagentstore-platform/instance-messages.md
What instance_messages does on ProAgentStore
AI agents call instance_messages to retrieve information from ProAgentStore without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why instance_messages is rated Low
Tool retrieves messages without modifying data or triggering external operations.
From the tool's definition Read recent messages from one of your private subscribed instances.
Attacks that exploit this kind of access
The rule that runs instance_messages 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 instance_messages, this is the rule to start with:
instance_messages is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ProAgentStore, apply this rule, and every instance_messages call is checked against it from then on.
Questions about instance_messages
Read recent messages from one of your private subscribed instances, newest page first. The response carries. It is categorised as a Read tool in the ProAgentStore MCP Server, which means it retrieves data without modifying state.
Register the ProAgentStore MCP server in PolicyLayer and add a rule for instance_messages: 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.
instance_messages is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the instance_messages 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 instance_messages. 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.
instance_messages 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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