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VoltPlan Wiring Diagrams

Power Budget / Energy Audit

calculate_power_budget
Read-onlyIdempotent

Calculate total daily energy consumption from a list of electrical loads. Each load specifies its power draw, how many hours per day it runs, and quantity. Returns total daily energy (Wh and Ah), peak power draw, and average power. This is typically the first step in sizing a battery bank and solar system.

Input Schema

NameRequiredDescriptionDefault
loadsYesList of electrical loads to include in the budget
systemVoltageYesSystem voltage in volts (e.g. 12, 24, 48)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

The annotations already establish that this is a read-only, idempotent, non-destructive, closed-world calculation. The description adds useful behavioral context by naming the returned metrics: daily energy in Wh and Ah, peak power draw, and average power. It does not discuss calculation assumptions such as efficiency losses, but it does not contradict the annotations.

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 three tightly written sentences with no wasted language. It front-loads the core action, then summarizes inputs and outputs, then gives the workflow context last.

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?

There is no output schema, so the description carries the burden of explaining return values, and it does so by listing daily Wh and Ah, peak power, and average power. The main remaining gap is that it does not mention calculation assumptions or system voltage's role explicitly, though the schema covers that parameter.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents both top-level parameters and the nested load fields. The description reinforces that each load includes power draw, hours per day, and quantity, but adds little syntax or interpretation beyond what the schema provides. The baseline score of 3 is appropriate.

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 states a specific verb and resource: calculating total daily energy consumption from a list of electrical loads. It also positions the tool relative to siblings by calling it the first step in sizing a battery bank and solar system, making its scope distinct from calculate_battery_bank and calculate_solar_size.

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

Usage Guidelines4/5

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

The description gives clear usage context by saying this is typically the first step in sizing a battery bank and solar system. It does not explicitly list when not to use it or name alternative sibling tools, but the workflow positioning is enough to guide 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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