AI agents call mindmap_resume_options to retrieve information from Mindmap without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The name 'resume_options' suggests retrieving available options for resuming a session context, which is a read operation. Given the server's purpose of 'context capture and resume across sessions', this tool likely fetches or lists resume options for the user. The description is cut off and provides no additional clarity, lowering confidence.
From the tool's definition Tool name 'mindmap_resume_options' and partial description 'When the user' — description is truncated and uninformative
Attacks that exploit this kind of access
When the user. It is categorised as a Read tool in the Mindmap MCP Server, which means it retrieves data without modifying state.
Register the Mindmap MCP server in PolicyLayer and add a rule for mindmap_resume_options: 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 Mindmap. Nothing to install.
mindmap_resume_options 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 mindmap_resume_options 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 mindmap_resume_options. 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.
mindmap_resume_options is provided by the Mindmap MCP server (@ravi-labs/mindmap-mcp-server). 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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