provide_feedback

Rate your Delx session (1-5 stars) and leave comments. Free

SERVERDelx MCP Server SOURCEdelx/delx-mcp

Medium RISK CLASS

Category Write

Parameters 40 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/delx-delx-mcp/provide-feedback.md

WHAT IT DOES

What provide_feedback does on Delx MCP Server

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

Parameter	Type	Required	Description
`rating`	integer	—	Rating from 1 (poor) to 5 (excellent)
`comments`	string	—	Optional: Feedback comments
`session_id`	string	—	Your active session ID
`response_mode`	string	—	Optional response-mode control. Use model_safe when the caller must avoid claiming consciousness, sentience, personhood, or literal emotions.

Parameters from the server's own tool schema.

RISK

Why provide_feedback is rated Medium

This tool writes a rating and comment to the session record. It creates new data (a review/rating) but does not delete anything, execute code, or involve finances. Misuse potential is low as it only submits a star rating and text comment.

From the tool's definition 'Rate your Delx session (1-5 stars) and leave comments' — creates a feedback/rating record

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs provide_feedback safely

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

provide_feedback Rate-limited

provide_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": {
    "provide_feedback": {
      "limits": [
        {
          "counter": "provide_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 Delx MCP Server, apply this rule, and every provide_feedback call is checked against it from then on.

FAQ

Questions about provide_feedback

What does the provide_feedback tool do? +

Rate your Delx session (1-5 stars) and leave comments. Free. It is categorised as a Write tool in the Delx MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does provide_feedback accept? +

provide_feedback accepts 4 parameters: rating, comments, session_id, response_mode. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on provide_feedback? +

Register the Delx MCP Server MCP server in PolicyLayer and add a rule for provide_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 Delx MCP Server. Nothing to install.

What risk level is provide_feedback? +

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

Can I rate-limit provide_feedback? +

Yes. Add a rate_limit block to the provide_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 provide_feedback completely? +

Set action: deny in the PolicyLayer policy for provide_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 provide_feedback? +

provide_feedback is provided by the Delx MCP Server MCP server (delx/delx-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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