AI agents call detect_conflicts to retrieve information from Unlimited without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Without a description, confidence is reduced. However, 'detect' typically implies querying or analyzing data (conflicts, presumably in git worktree state or job queue) without making changes. This aligns with Read category.
From the tool's definition Tool name is 'detect_conflicts' with no description provided. The verb 'detect' suggests analysis or inspection of existing state rather than modification or execution.
Attacks that exploit this kind of access
detect_conflicts. It is categorised as a Read tool in the Unlimited MCP Server, which means it retrieves data without modifying state.
Register the Unlimited MCP server in PolicyLayer and add a rule for detect_conflicts: 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 Unlimited. Nothing to install.
detect_conflicts 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 detect_conflicts 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 detect_conflicts. 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.
detect_conflicts is provided by the Unlimited MCP server (triumsebas/unlimited-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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