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Glama

engineering

digital_renovation_passport

EPBD-style staged digital renovation passport: 3-phase roadmap (quick wins, system upgrades, deep renovation) with cost ranges, energy savings and EPC trajectory from current EPC, floor area and heating type. Indicative.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eraNoConstruction era (label only)
addressNoBuilding address (label only)
countryNoCountry code (e.g. UK, DE)
heatingYesPrimary heating system
current_epcYesCurrent EPC band A-G
building_typeNoBuilding type (label only)
floor_area_m2YesGross floor area (m2)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the disclosure burden. It adds meaningful context by calling the result 'Indicative' and by specifying the output dimensions. However, it does not disclose assumptions, data sources, accuracy limits, or the exact return format.

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 compact: one substantive sentence followed by the single caveat 'Indicative.' It front-loads the core behavior and output without repeating schema field descriptions or adding filler.

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?

For a non-destructive estimation tool, this is sufficient: it states the analytic inputs, the high-level output structure, and the indicative nature, while the schema documents all parameters. It would benefit from explicit units or a return-value shape, but nothing essential for selecting or invoking the tool is missing.

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?

Schema coverage is 100%, so the baseline is 3. The description adds value by explicitly naming current EPC, floor area, and heating type as the drivers of the roadmap, implying that other fields are contextual labels rather than calculation inputs.

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 clearly identifies the deliverable—a 3-phase renovation roadmap with cost ranges, energy savings, and EPC trajectory—and the EPBD framing helps distinguish it from the sibling tools. It lacks an explicit action verb like 'generates' or 'calculates', but the purpose is unambiguous.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no alternatives are named. The EPBD-style, staged-renovation framing and the word 'Indicative' imply the intended scenario of rough renovation planning, but the agent must infer this from 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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TDQS

B3.1/5.0
Disambiguation3/5

Many tools have distinct domains (structural, carbon, compliance, heat pumps), but several overlap at a surface level: calculate_carbon, building_carbon_footprint, and uae_climate_ghg all deal with carbon; estimate_cooling_load and thermal_load both compute cooling loads; and multiple UK/UAE compliance checkers have similar 'readiness/checker/precheck' names. Descriptions help differentiate, but an agent could still select the wrong tool without careful reading.

Naming Consistency2/5

Naming is a mix of verb-led patterns (assess_epbd_score, calculate_carbon, check_uae_bim_compliance, estimate_cooling_load, get_technical_dd_quote) and noun-led phrases (building_carbon_footprint, building_readiness, digital_renovation_passport, roi_calculator, thermal_load). Sub-groups like check_* and eurocode_* are consistent internally, but the overall set has no unifying convention, which adds cognitive load.

Tool Count2/5

With 27 tools, the server exceeds the 'heavy' range, even though the engineering domain is broad. Many tools are highly specialized (e.g., part_s_ev, mees_checker, dgnb_bim_readiness), and the large count risks overwhelming an agent trying to pick the right one. The scope may justify the number, but it edges into too-many territory.

Completeness3/5

The server covers a wide range of building and sustainability assessments: carbon, energy, compliance (EU/UK/UAE), structural design, cost benchmarking, and data centres. However, there are gaps in adjacent areas common to building engineering—such as acoustic design, water/sanitation, electrical systems, or thermal bridging—which would be expected from a general 'engineering' server. It is reasonably complete for its apparent sustainability/regulatory focus, but not universally.

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