fetch_plot
AI agents call fetch_plot to retrieve information from MCP GeneLab Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Given the server's purpose (converting natural language to Cypher queries for analysis of GeneLab data) and the naming pattern of sibling tools that perform data retrieval and visualization, 'fetch_plot' most likely retrieves a pre-generated or cached visualization artifact. This is a read operation with no side effects on the underlying data.
From the tool's definition Tool name 'fetch_plot' uses the verb 'fetch', which typically indicates retrieval of data without modification. The tool description is empty, providing no additional specificity.
Attacks that exploit this kind of access
fetch_plot. It is categorised as a Read tool in the MCP GeneLab Server MCP Server, which means it retrieves data without modifying state.
Register the MCP GeneLab Server MCP server in PolicyLayer and add a rule for fetch_plot: 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 MCP GeneLab Server. Nothing to install.
fetch_plot 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 fetch_plot 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 fetch_plot. 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.
fetch_plot is provided by the MCP GeneLab Server MCP server (sbl-sdsc/mcp-genelab). 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.
Teams ship this data inside their own products. See what a licence covers →