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OFODevelopment

CerebroChain MCP Server

get_fleet_stats

Retrieve real-time fleet key performance indicators including active vehicles, utilization, fuel efficiency, and maintenance status.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It states 'real-time' and lists KPIs but does not specify whether the operation is read-only, idempotent, or if it has side effects. Additionally, there is no mention of rate limits, caching, or error behavior. For a real-time data retrieval tool, more transparency about data freshness and potential delays is needed.

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 two sentences long, starting with the core purpose 'Get real-time fleet KPIs', followed by a list of KPIs and authentication requirement. Every sentence adds value without redundancy. It is well-structured and efficiently conveys essential 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 tool has no parameters, no output schema, and no annotations, so the description is the sole source of information. While it covers purpose and authentication, it lacks details on the return format, data volume, update frequency, and whether the 'real-time' aspect imposes rate limits. For a KPI tool used for monitoring, more context about data staleness and pagination would improve completeness.

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 has no parameters (100% coverage by description), so the baseline is 4. The description lists the specific KPIs returned (active vehicles, utilization, fuel efficiency, maintenance status), which adds context beyond the empty schema. No parameter documentation is needed, but the description could enhance clarity by noting that no parameters are required.

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 specifies the verb 'Get', the resource 'real-time fleet KPIs', and lists specific KPIs (active vehicles, utilization, fuel efficiency, maintenance status). The name 'get_fleet_stats' further reinforces purpose. Among sibling tools like 'list_vehicles' and 'get_kpi_dashboard', this tool is distinct for fleet-specific KPIs.

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 'Requires API key', which is an authentication requirement, but provides no explicit guidance on when to use this tool versus alternatives. It does not state when not to use it or offer comparisons to sibling tools like 'get_kpi_dashboard' or 'detect_bottlenecks', leaving the agent to infer usage context.

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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