get_fleet_summary
Fleet-wide snapshot: unit count, total capacity, revenue month-to-date, average spot price.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Fleet-wide snapshot: unit count, total capacity, revenue month-to-date, average spot price.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. The word 'snapshot' and the tool name's 'get' prefix imply a read-only, non-destructive operation, but the description does not explicitly state side-effect-free behavior, authentication needs, or data freshness. This is adequate for a simple getter but not richly transparent.
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?
The description is a single, compact sentence with no filler. Every word earns its place by naming the resource and the four key data points.
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?
For a zero-parameter read-only snapshot, the description covers the essential content. However, with no output schema present, it would benefit from clarifying units, data freshness, or return shape, making it slightly incomplete.
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?
The tool has zero parameters, so the baseline of 4 applies. The description adds useful semantic context by enumerating the specific metrics returned, which is more than the empty schema provides.
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?
The description clearly identifies the resource as a fleet-wide snapshot and lists the exact metrics (unit count, total capacity, revenue month-to-date, average spot price). This distinguishes it from sibling tools like get_battery_detail, which focus on individual battery data.
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?
The phrase 'Fleet-wide' implicitly signals this is the aggregate-summary alternative to battery-specific tools, giving the agent a clear context for when to use it. However, it does not explicitly name alternatives or state exclusions, so it falls short of full guidance.
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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