Retrieve full details of a single official mirror queue entry by ID. Returns complete information including all mirror versions and linked server details. This tool provides comprehensive information about an official mirror queue entry, including: - Queue item metadata (name, status, timestamps)...
AI agents call get_official_mirror_queue_item to retrieve information from Langfuse Observability without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only operation that fetches and returns metadata about queue items. It has no capacity to modify, delete, or execute operations. The comprehensive nature of the returned information does not elevate the risk category—read operations remain in the Read category regardless of data volume. Blast radius is minimal as misuse would only expose existing observability data.
From the tool's definition Tool description uses 'Retrieve' and 'Returns...information' with no modification, deletion, or execution capabilities. The tool only queries and returns data about official mirror queue entries without side effects.
Attacks that exploit this kind of access
Retrieve full details of a single official mirror queue entry by ID. Returns complete information including all mirror versions and linked server details. This tool provides comprehensive information about an official mirror queue entry, including: - Queue item metadata (name, status, timestamps) - All mirror versions with complete server.json data - Linked MCP server details (if linked) - Server linkage consistency status The response includes all fields from the server.json submissions: - Name, version, description - GitHub repository URL - Website URL - Categories and license - Remote endpoints (hosted versions) - Package information (npm, pip, etc.) - Schema version and ingestion metadata Use cases: - Review complete details of a queue entry before taking action - Compare mirror versions to see changes over time - Check linked server details and linkage consistency - Access full server.json data for decision making - Verify remote endpoints and package information. It is categorised as a Read tool in the Langfuse Observability MCP Server, which means it retrieves data without modifying state.
Register the Langfuse Observability MCP server in PolicyLayer and add a rule for get_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 Langfuse Observability. Nothing to install.
get_official_mirror_queue_item is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_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 get_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.
get_official_mirror_queue_item is provided by the Langfuse Observability MCP server (langfuse-observability-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.
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