AI agents call find_markers to retrieve information from Millimap without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name 'find_markers' suggests querying or retrieving marker data from a cluster or cell-type analysis, consistent with read-only analysis operations. No description was provided, which slightly reduces confidence, but the sibling tool 'get_cluster_markers' and the analytical context strongly support a Read classification. Misuse would expose data but not alter or delete it.
From the tool's definition Tool name 'find_markers' with no description. Sibling tool 'get_cluster_markers' is explicitly Read-category.
Attacks that exploit this kind of access
find_markers. It is categorised as a Read tool in the Millimap MCP Server, which means it retrieves data without modifying state.
Register the Millimap MCP server in PolicyLayer and add a rule for find_markers: 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 Millimap. Nothing to install.
find_markers 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 find_markers 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 find_markers. 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.
find_markers is provided by the Millimap MCP server (milliomics/millimap-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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