[Langfuse] Search and filter traces with extended criteria including text search, release, cost range, and latency range. Combines API-level and client-side filtering.
AI agents call langfuse_search_traces to retrieve information from Shepherd MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and filters historical trace data from Langfuse for debugging and analysis purposes. It has no side effects, does not modify or delete data, and does not execute code or trigger external operations. The 'extended criteria' (text search, release, cost range, latency range) are all read-only query parameters. This is a standard data retrieval operation on an observability platform.
From the tool's definition Tool name contains 'search' and description states 'Search and filter traces' with no mention of modification, deletion, or execution capabilities. Returns observability data for analysis.
Attacks that exploit this kind of access
[Langfuse] Search and filter traces with extended criteria including text search, release, cost range, and latency range. Combines API-level and client-side filtering. It is categorised as a Read tool in the Shepherd MCP MCP Server, which means it retrieves data without modifying state.
Register the Shepherd MCP server in PolicyLayer and add a rule for langfuse_search_traces: 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 Shepherd MCP. Nothing to install.
langfuse_search_traces 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 langfuse_search_traces 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 langfuse_search_traces. 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.
langfuse_search_traces is provided by the Shepherd MCP server (neuralis-in/shepherd-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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