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OFODevelopment

cerebrochain-mcp-server

get_fleet_stats

Retrieve real-time fleet KPIs including active vehicles, utilization rates, fuel efficiency metrics, and maintenance status for logistics management.

Instructions

Get real-time fleet KPIs — active vehicles, utilization, fuel efficiency, maintenance status. Requires API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds valuable context by specifying 'real-time' data freshness and the API key requirement. However, it omits other behavioral details such as rate limits, error handling for missing keys, or data retention policies.

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 consists of two efficient sentences with no filler. It is front-loaded with the action and resource ('Get real-time fleet KPIs'), followed by specific examples and the auth requirement. Every word earns its place.

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

Completeness4/5

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

Despite the absence of an output schema, the description compensates by listing the specific KPI categories returned (active vehicles, utilization, etc.). With zero input parameters to document and no annotations to reference, the description covers the essential prerequisites (API key) and return value concepts adequately.

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?

The input schema contains zero parameters (empty object). According to the baseline rules, zero parameters warrants a baseline score of 4. The description correctly does not invent or reference any parameters, maintaining consistency with the schema.

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 uses a specific verb ('Get') and resource ('fleet KPIs'), and enumerates specific metrics (active vehicles, utilization, fuel efficiency, maintenance status). This distinguishes it from siblings like 'list_vehicles' (which likely returns vehicle records rather than aggregated statistics) and 'get_order_statistics' (orders vs. fleet), though it does not explicitly contrast with 'get_kpi_dashboard'.

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 states a prerequisite ('Requires API key') but provides no explicit guidance on when to use this tool versus alternatives like 'get_kpi_dashboard' or 'list_vehicles'. The usage is implied by the specific metrics listed, but lacks explicit when/when-not conditions.

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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