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Kolmo Construction

Contractor-to-permit specialty match

match_contractor_to_permit
Read-onlyIdempotent

Cross-reference a WA contractor's L&I license specialty against a permit's required specialties. Returns whether the contractor is qualified to pull/work the permit, with explicit gap callouts (e.g. "missing electrical specialty 02"). Combines real-time L&I data with Kolmo's authoritative permit catalog.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectTypeYesCanonical project type (kitchen, bathroom, basement, deck, fence, siding, windows, flooring, adu, roofing, hvac, electrical, plumbing, addition)
contractorQueryYesContractor license number or business name
jurisdictionSlugYesPermit jurisdiction slug (e.g. "seattle", "tacoma")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
matchYes
checksNo
permitNo
reasonNo
missingNo
sourceUrlNo
verifyUrlNo
contractorNo
attributionNo

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable behavioral context beyond those hints by noting the use of real-time L&I data and the explicit gap callouts with an example format. No contradictions with annotations are present.

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 concise at two sentences, front-loaded with the core action, and includes a concrete example of gap callouts and data-source context. Every sentence contributes meaningful information without redundancy.

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

Completeness5/5

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

Given the presence of a complete input schema, an output schema, and read-only annotations, the description covers the essential behavioral and purpose context: what is matched, what is returned, and the data sources involved. Nothing material appears missing for correct invocation.

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%, with each of the three parameters already described in the schema. The description does not add further parameter-level detail, so a baseline 3 is appropriate rather than a higher score for compensatory explanation.

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 opens with a specific verb and resource: 'Cross-reference a WA contractor's L&I license specialty against a permit's required specialties.' This clearly differentiates it from sibling tools like check_contractor_license_status or check_permit_requirements, since the focus is on the cross-reference matching action rather than a single status or requirement lookup.

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 intended use is implied by the description: use when you need to determine whether a contractor is qualified for a specific permit. However, there is no explicit when-to-use or when-not-to-use guidance, and no reference to sibling alternatives such as check_contractor_license_status or check_permit_requirements, leaving routing decisions to inference.

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

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but get_neighborhood_project_activity and get_neighbor_permit_activity are easy to confuse, and get_material_catalog vs get_material_options have overlapping scope. The detailed descriptions mostly resolve ambiguity, so it stays above average.

Naming Consistency4/5

Naming follows a mostly consistent get_/list_ verb-noun pattern, with a small set of other descriptive verbs like check_, estimate_, and resolve_. The neighbor/neighborhood naming collision and a few multi-word exceptions are the main inconsistencies.

Tool Count2/5

At 36 tools, the surface is heavy and exceeds the 25+ threshold, spanning permits, estimates, content, reviews, financing, weather, and procurement. While each cluster has plausible value, the overall count feels bloated for an agent to navigate efficiently.

Completeness4/5

The set covers a broad lifecycle: permit research, estimates, licensing, financing, ROI, weather, project/services content, reviews, and lead submission. Minor gaps like scheduling/booking and direct estimate persistence prevent a perfect score.

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