Approve an official mirror queue entry and link it to an existing MCP server. This is an async operation that enqueues a background job. This action: 1. Links the queue entry to the specified MCP server 2. Enqueues a background job to process the approval 3. The job will update the MCP server wit...
AI agents use approve_official_mirror_queue_item to create or update resources in Pointsyeah — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pointsyeah environment.
This tool modifies existing MCP server configurations by linking queue entries and triggering background jobs that update server data. While the changes are technically reversible (can be undone via another approval or operation), the action creates new associations and triggers automated processes that modify system state.
From the tool's definition Approve an official mirror queue entry and link it to an existing MCP server. This is an async operation that enqueues a background job. The job will update the MCP server with data from the official mirror.
Attacks that exploit this kind of access
Approve an official mirror queue entry and link it to an existing MCP server. This is an async operation that enqueues a background job. This action: 1. Links the queue entry to the specified MCP server 2. Enqueues a background job to process the approval 3. The job will update the MCP server with data from the official mirror Important: This is an asynchronous operation. The response indicates the job was enqueued, not that the approval is complete. Use get_official_mirror_queue_item to poll for completion. Use cases: - Link an official registry submission to an existing PulseMCP server - Approve submissions that match known servers - Update existing server data with official registry information Workflow: 1. Use get_official_mirror_queue_items to find pending entries 2. Use search_mcp_implementations to find the matching MCP server 3. Call this tool with the queue ID and server slug 4. Poll get_official_mirror_queue_item to verify completion. It is categorised as a Write tool in the Pointsyeah MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Pointsyeah MCP server in PolicyLayer and add a rule for approve_official_mirror_queue_item: 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 Pointsyeah. Nothing to install.
approve_official_mirror_queue_item 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 approve_official_mirror_queue_item 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 approve_official_mirror_queue_item. 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.
approve_official_mirror_queue_item is provided by the Pointsyeah MCP server (slack-workspace-mcp-server). 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.
Teams ship this data inside their own products. See what a licence covers →