Submit a bug report or feature request. Creates a GitHub issue automatically.
AI agents use vitrine_feedback to create or update resources in Vitrine MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Vitrine MCP Server environment.
This tool creates a GitHub issue, which is a reversible write operation. It does not delete data, execute code, or involve financial transactions. Misuse could create spam issues but has minimal blast radius.
From the tool's definition Submit a bug report or feature request. Creates a GitHub issue automatically.
Attacks that exploit this kind of access
Submit a bug report or feature request. Creates a GitHub issue automatically. It is categorised as a Write tool in the Vitrine MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Vitrine MCP Server MCP server in PolicyLayer and add a rule for vitrine_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 Vitrine MCP Server. Nothing to install.
vitrine_feedback is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the vitrine_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.
Set action: deny in the PolicyLayer policy for vitrine_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.
vitrine_feedback is provided by the Vitrine MCP Server MCP server (vitrine3d/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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