detect_bottlenecks

AI-powered bottleneck detection. Identifies current and predicted supply chain bottlenecks with severity and recommendations. Premium tool. Requires API key.

Server CerebroChain MCP Server cerebrochain/cerebrochain-mcp-server
Category Read
Risk class Low
Parameters 00 required

What detect_bottlenecks does on CerebroChain MCP Server

AI agents call detect_bottlenecks to retrieve information from CerebroChain MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why detect_bottlenecks needs a policy

Despite being labeled 'premium' and requiring authentication, the tool performs analysis and reporting on supply chain data without creating, modifying, deleting, or executing operations. It is purely informational, similar to sibling tools like 'get_optimization_recommendations' and 'get_kpi_dashboard'.

From the tool's definition Tool description states it 'Identifies current and predicted supply chain bottlenecks' — a query and analysis function that retrieves and reports on existing data. No modification, deletion, or execution of external commands is described.

Questions about detect_bottlenecks

What does the detect_bottlenecks tool do? +

AI-powered bottleneck detection. Identifies current and predicted supply chain bottlenecks with severity and recommendations. Premium tool. Requires API key. It is categorised as a Read tool in the CerebroChain MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on detect_bottlenecks? +

Register the CerebroChain MCP Server MCP server in PolicyLayer and add a rule for detect_bottlenecks: 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 CerebroChain MCP Server. Nothing to install.

What risk level is detect_bottlenecks? +

detect_bottlenecks is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit detect_bottlenecks? +

Yes. Add a rate_limit block to the detect_bottlenecks 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.

How do I block detect_bottlenecks completely? +

Set action: deny in the PolicyLayer policy for detect_bottlenecks. 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.

What MCP server provides detect_bottlenecks? +

detect_bottlenecks is provided by the CerebroChain MCP Server MCP server (cerebrochain/cerebrochain-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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