Analyze quality, confidence, bias counts, label counts, unresolved questions, and recommendations.
AI agents call ultrabrain_analyze to retrieve information from Ultrabrain without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes metadata and metrics about reasoning artifacts (quality scores, confidence levels, counts, questions). It performs read-only introspection and reporting. No data is modified, deleted, or irreversibly changed. No external operations are triggered.
From the tool's definition Tool description states 'Analyze quality, confidence, bias counts, label counts, unresolved questions, and recommendations' — purely analytical/reporting operations with no modification, deletion, or execution of external systems.
Attacks that exploit this kind of access
Analyze quality, confidence, bias counts, label counts, unresolved questions, and recommendations. It is categorised as a Read tool in the Ultrabrain MCP Server, which means it retrieves data without modifying state.
Register the Ultrabrain MCP server in PolicyLayer and add a rule for ultrabrain_analyze: 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 Ultrabrain. Nothing to install.
ultrabrain_analyze 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 ultrabrain_analyze 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 ultrabrain_analyze. 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.
ultrabrain_analyze is provided by the Ultrabrain MCP server (lcv-ideas-software/ultrabrain-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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