Retrieve evaluation scores for traces.
AI agents call get_scores to retrieve information from Langfuse Mcp Python without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves (queries) evaluation scores without creating, modifying, or deleting data. This is a read-only operation with minimal blast radius if misused by an AI agent—it can only expose existing score data.
From the tool's definition Tool name 'get_scores' and description 'Retrieve evaluation scores for traces' indicate a data retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Retrieve evaluation scores for traces. It is categorised as a Read tool in the Langfuse Mcp Python MCP Server, which means it retrieves data without modifying state.
Register the Langfuse Mcp Python MCP server in PolicyLayer and add a rule for get_scores: 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 Mcp Python. Nothing to install.
get_scores 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_scores 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_scores. 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_scores is provided by the Langfuse Mcp Python MCP server (log-logn/langfuse-mcp-python). 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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