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Glama

OKC HVAC Calculator | Repair or Replace Decision Tool

run_hvac_repair_or_replace_analysis

Run the repair-or-replace decision engine and return a recommendation (REPAIR, REPLACE, DEPENDS, or IMMEDIATE_SERVICE) with reasoning and a multi-year cost comparison. Estimates only. Final diagnosis, equipment recommendations, availability, and pricing require an on-site evaluation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
homeSizeNo
issueTypeYesnature of the problem
systemAgeNoyears, 0-60
efficiencyNo
systemTypeYese.g. ac, furnace, heat_pump
safetyFlagsNo
utilityBillNo
isAfterHoursNo
priorRepairsNo
repairCostTypeNo
repairCostInputNo
replaceCostTypeNo
replaceCostInputNo

Schema Changelog

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

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It clearly discloses the output composition, the estimates-only nature, and the limitation that final diagnosis, equipment recommendations, availability, and pricing require on-site evaluation. This is substantial behavioral disclosure beyond a simple 'runs analysis' statement.

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 crisp, purposeful sentences. The first states the action and output; the second immediately qualifies the output with the estimates/on-site caveat. No filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 13 parameters, no output schema, and minimal schema descriptions, the tool description is not complete enough for an agent to confidently populate all inputs or interpret the full output. The return-value summary is helpful, but the parameter semantics and sibling routing remain under-explained.

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

Parameters2/5

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

Schema description coverage is only 23% (3 of 13 parameters have descriptions), and the tool description adds no parameter-level meaning. It references a multi-year cost comparison but does not explain how fields like repairCostInput, replaceCostInput, safetyFlags, priorRepairs, or utilityBill factor in. The description fails to compensate for the low schema coverage.

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?

Description names a specific verb ('Run'), a specific resource ('repair-or-replace decision engine'), and the exact output (REPAIR, REPLACE, DEPENDS, or IMMEDIATE_SERVICE) with reasoning and a multi-year cost comparison. This clearly distinguishes it from siblings like get_repair_or_replace_tool_info and search_hvac_decision_content.

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 implies this is the tool to use when an HVAC repair-or-replace recommendation is needed, but it does not explicitly state when to use it over sibling tools, nor does it give exclusion criteria. The 'Estimates only' caveat provides some context for expectations, but no explicit alternatives or when-not-to-use 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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TDQS

A3.8/5.0
Disambiguation5/5

Each tool targets a distinct action or resource: retrieving articles, searching articles, getting business info, checking service area, describing the analysis tool, running the analysis, and submitting two different types of contact requests. The two content tools are clearly separated as search vs. full retrieval, and booking vs. lead submissions are differentiated by their descriptions.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with snake_case: get_*, search_*, run_*, and submit_*. While the domain prefixes vary (hvac, okc_hvac, covington, repair_or_replace), the overall grammatical structure is uniform and predictable.

Tool Count5/5

Eight tools is well-scoped for this server's purpose. It covers content discovery, business information, service area verification, decision tool metadata, the actual analysis, and two conversion paths without unnecessary redundancy.

Completeness5/5

The tool surface covers the full user journey: learning through articles, verifying eligibility through service area, running the repair-or-replace analysis, and taking action via booking or lead submission. For a read-mostly decision tool and lead generation server, there are no meaningful dead ends.

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