record_instance_feedback

Record something the OWNER says one of their agents got wrong (or did well) — the same row the console

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

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade D, identity unverified Pull the record →

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

WHAT IT DOES

What record_instance_feedback does on ProAgentStore

AI agents call record_instance_feedback 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.

RISK

Why record_instance_feedback is rated Low

Even though record_instance_feedback only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs record_instance_feedback 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 record_instance_feedback, this is the rule to start with:

record_instance_feedback Allowed

record_instance_feedback is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "record_instance_feedback": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect ProAgentStore, apply this rule, and every record_instance_feedback call is checked against it from then on.

FAQ

Questions about record_instance_feedback

What does the record_instance_feedback tool do? +

Record something the OWNER says one of their agents got wrong (or did well) — the same row the console. It is categorised as a Read tool in the ProAgentStore MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on record_instance_feedback? +

Register the ProAgentStore MCP server in PolicyLayer and add a rule for record_instance_feedback: 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 record_instance_feedback? +

record_instance_feedback is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit record_instance_feedback? +

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

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

record_instance_feedback 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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