cerebrochain-mcp-server

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

No annotations provided, so description carries full burden. Adds valuable context ('AI-powered' implies probabilistic/non-deterministic behavior, 'Premium' implies cost/complexity, 'API key' states auth requirement). However, lacks safety profile (read-only vs destructive), rate limits, or output format details.

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

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

Three sentences with zero waste. Front-loaded with capability (AI-powered detection), followed by specific outputs (severity, recommendations), then operational constraints (Premium, API key). Every sentence earns its place.

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

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

Adequate for a single-parameter tool with good schema coverage. Mentions key outputs (severity, recommendations) despite missing output schema. However, gaps remain regarding return structure, AI accuracy limitations, and specific premium usage terms.

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

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

Schema has 100% description coverage for the single 'scope' parameter. Description adds no parameter-specific guidance beyond what the schema enum ('warehouse', 'logistics', 'full-chain') already provides. Baseline 3 appropriate given schema completeness.

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

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

Specific verb ('Identifies') and resource ('supply chain bottlenecks') with clear scope ('current and predicted' with 'severity and recommendations'). Implicitly distinguishes from siblings like get_optimization_recommendations through specific focus on bottlenecks, though lacks explicit sibling comparison.

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

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

Provides operational constraints ('Premium tool', 'Requires API key') implying usage prerequisites, but lacks explicit when-to-use guidance or comparison to alternatives like forecast_demand or get_optimization_recommendations.

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