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OFODevelopment

CerebroChain MCP Server

optimize_route

Optimizes delivery routes by factoring in traffic, vehicle capacity, time windows, and fuel costs to improve efficiency.

Instructions

AI-powered route optimization. Calculates optimal delivery route considering traffic, capacity, time windows, and fuel costs. Premium tool. Requires API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stopsYesDelivery stops to optimize
vehicle_capacity_lbsNoVehicle weight capacity in pounds
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool is 'AI-powered' and 'calculates,' implying a read-only operation, but does not disclose side effects, idempotency, or whether it requires write permissions.

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

Conciseness5/5

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

The description is concise—three short sentences—and front-loaded with the core purpose. No redundant or unnecessary information.

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?

The description explains the tool's purpose and key factors, but lacks details on output format (e.g., what is returned) and does not mention constraints like minItems=2 on stops. Given no output schema, this is a gap.

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

Parameters4/5

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

Schema coverage is 100%, and the description adds meaning by linking the parameters to optimization factors (e.g., 'capacity' relates to vehicle_capacity_lbs, 'time windows' to stops' time_window fields). This goes beyond the schema alone.

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

Purpose4/5

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

The description clearly states the tool calculates optimal delivery routes considering key factors (traffic, capacity, time windows, fuel costs). However, it does not explicitly differentiate from sibling tools like get_optimization_recommendations, which may overlap.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. The description mentions 'Premium tool. Requires API key,' which hints at access restrictions but does not provide context on tool selection.

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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