epl_migel_suche
AI agents call epl_migel_suche to retrieve information from Pypi:bag Epl without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name and server context strongly suggest this performs searches/lookups of medical device coverage information (MIGEL is the Swiss list of medicinal devices). No modification, execution, deletion, or financial action is indicated. The 'suche' suffix and query-focused siblings classify this as Read.
From the tool's definition Tool name 'epl_migel_suche' contains 'suche' (German: 'search'). Server context describes 'natural language queries about Swiss mandatory health insurance coverage'.
Attacks that exploit this kind of access
epl_migel_suche. It is categorised as a Read tool in the Pypi:bag Epl MCP Server, which means it retrieves data without modifying state.
Register the Pypi:bag Epl MCP server in PolicyLayer and add a rule for epl_migel_suche: 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 Pypi:bag Epl. Nothing to install.
epl_migel_suche 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 epl_migel_suche 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 epl_migel_suche. 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.
epl_migel_suche is provided by the Pypi:bag Epl MCP server (malkreide/bag-epl-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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