drug_getter
AI agents call drug_getter to retrieve information from CzechMedMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on naming convention and sibling tool patterns within CzechMedMCP (a healthcare data aggregation server connecting to read-only biomedical sources like PubMed and OpenFDA), 'drug_getter' most likely retrieves drug information from Czech healthcare databases or biomedical sources without modifying data.
From the tool's definition Tool name 'drug_getter' combined with context from sibling tools (drug_profile, check_availability, compare_alternatives) suggests data retrieval. Description is empty, reducing confidence.
Attacks that exploit this kind of access
drug_getter. It is categorised as a Read tool in the CzechMedMCP MCP Server, which means it retrieves data without modifying state.
Register the CzechMed MCP server in PolicyLayer and add a rule for drug_getter: 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 CzechMedMCP. Nothing to install.
drug_getter 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 drug_getter 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 drug_getter. 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.
drug_getter is provided by the CzechMed MCP server (petrsovadina/czechmedmcp). 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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