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OFODevelopment

CerebroChain MCP Server

detect_bottlenecks

Analyze supply chain to detect current and predicted bottlenecks with severity and recommendations.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNoAnalysis scopefull-chain
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full burden. It notes the tool is 'AI-powered' and mentions premium status and API key requirement, but fails to disclose other behavioral traits like whether it is read-only, rate limits, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences, front-loading the core purpose. However, it could be slightly more structured to separate functional from non-functional aspects.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has one optional parameter and no output schema, the description provides minimal context. It explains the basic purpose and premium nature, but lacks details about return format, data volume, or how to interpret results, which are important for an AI-powered tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the single parameter 'scope'. The description adds no additional meaning beyond the schema's enum values and description 'Analysis scope'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool detects current and predicted supply chain bottlenecks with severity and recommendations. It provides a specific verb+resource combination and distinguishes from sibling tools like check_stock_levels and forecast_demand.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions it is a premium tool requiring an API key, giving limited usage context. However, it lacks explicit guidance on when to use this tool versus alternatives or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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