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novtriq-tech

NOVTRIQ Engineering

heatpump_heatloss

Calculate whole-dwelling fabric and ventilation heat loss to size a heat pump. Uses floor area, age band, location, and glazing to return design heat loss, recommended output, SCOP, and annual demand.

Instructions

Domestic whole-dwelling fabric + ventilation heat-loss estimate for heat pump sizing (BS EN 12831 / MCS), from floor area, storeys, age band, location and glazing. Returns design heat loss (kW), recommended heat pump output, indicative SCOP and annual demand. Typical U-values/SCOP, not measured.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
storeysNo
age_bandYes
locationYes
flow_temp_cNoEmitter flow temperature
floor_area_m2Yes
air_change_rateNoACH, default 0.5
ceiling_height_mNoDefault 2.4
glazing_pct_of_floorNoDefault 25
external_design_temp_cNoOverride 99.6% external design temp
internal_design_temp_cNoDefault 21
Behavior4/5

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

With no annotations, the description carries the burden. It discloses that results are estimates based on typical values and that SCOP is 'indicative', setting clear expectations. It also lists the return values. However, it does not explicitly mention read-only nature or any permissions, but as a calculation tool this is less critical.

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?

Two sentences: the first states what the tool does and the second lists outputs. No redundant information, front-loaded with purpose.

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 10 parameters and no output schema, the description covers the core purpose, standards, inputs, return values, and limitation ('not measured'). It could include more methodological detail or safety disclaimers, but overall it is sufficiently complete for a calculation tool.

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 coverage is 60%, with descriptions for many optional parameters. The description mentions key inputs (floor area, storeys, age band, location, glazing) and gives context (fabric + ventilation), but it does not add significant meaning beyond what the schema already provides, and slightly overstates input list by including optional fields as if all 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 uses a specific verb ('estimate') and resource ('whole-dwelling fabric + ventilation heat-loss') and clearly distinguishes from siblings by specifying 'for heat pump sizing' and citing standard BS EN 12831 / MCS. The return values (design heat loss, recommended output, SCOP, annual demand) further differentiate it.

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 provides clear context: it is for domestic whole-dwelling heat loss estimation for heat pump sizing. It implicitly indicates when to use (UK heat pump sizing) and hints at limitations ('Typical U-values/SCOP, not measured'), but does not explicitly name alternatives or exclusion scenarios.

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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