resolve_feedback

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

Medium RISK CLASS

Category Write

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/resolve-feedback.md

WHAT IT DOES

What resolve_feedback does on ProAgentStore

AI agents use resolve_feedback to create or update resources in ProAgentStore, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ProAgentStore environment.

RISK

Why resolve_feedback is rated Medium

Modifies feedback record status and links issues irreversibly; restricted scope prevents deletion but enables persistent state changes.

From the tool's definition Close the loop on feedback: set its status and record the issue it became.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

resolve_feedback Rate-limited

resolve_feedback stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "resolve_feedback": {
      "limits": [
        {
          "counter": "resolve_feedback_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about resolve_feedback

What does the resolve_feedback tool do? +

Close the loop on one piece of feedback: set its status and record the issue it became. This is what keeps the backlog honest — a complaint filed as a GitHub issue (github_create_issue) is stamped with the URL so it is not filed twice, and one that is still open stays visible. The BODY is never editable: the row records what the owner said at the time, which is the property that makes it evidence. It is categorised as a Write tool in the ProAgentStore MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on resolve_feedback? +

Register the ProAgentStore MCP server in PolicyLayer and add a rule for resolve_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 resolve_feedback? +

resolve_feedback is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit resolve_feedback? +

Yes. Add a rate_limit block to the resolve_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 resolve_feedback completely? +

Set action: deny in the PolicyLayer policy for resolve_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 resolve_feedback? +

resolve_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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