trial_outcomes_getter
AI agents call trial_outcomes_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.
The verb 'getter' strongly suggests read-only data retrieval without modification or side effects. Sibling tools like 'article_getter' and 'article_searcher' on the same server follow a pattern of information retrieval. No language indicating execution, deletion, or financial transactions.
From the tool's definition Tool name 'trial_outcomes_getter' indicates retrieval of trial outcome data. Description is empty, limiting certainty.
Attacks that exploit this kind of access
trial_outcomes_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 trial_outcomes_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.
trial_outcomes_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 trial_outcomes_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 trial_outcomes_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.
trial_outcomes_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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