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Permit submittal checklist

resolve_permit_submittals
Read-onlyIdempotent

Resolve the structured submittal-item set for a specific parcel + permit scope, via the unified permit-engine pipeline. Use this when you need the per-item checklist (with triggers, source citations, filler actor, gap-resolution path) — not just the rule-level summary that check_permit_requirements returns. Output fidelity per jurisdiction: Seattle is "full" (verified SDCI Tips with verbatim quotes); the other 9 verified cities are "wa-baseline-stub" until their detail backfill lands. Unverified jurisdictions return no-spec.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeYesPermit scope — the (project-type x work-class) identifier the provider catalogs by
addressYesFull street address — geocoded to a parcel and matched to a jurisdiction provider
envelopeChangeNoProject alters the building envelope (windows, doors, siding, roof). Default false. Drives WSEC triggers.
structuralChangeNoProject involves a structural change (header, framing, lateral). Default false. Drives several triggers.
totalFloorAreaSqftNoTotal floor area in sqft. Used by SEPA threshold (>=12000) and other size-based triggers.
projectValuationUsdNoProject valuation in USD

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
scopeYes
totalsNo
addressNo
parcelIdNo
applicableNo
disclaimerNo
permitTypeNo
attributionYes
skippedCountYes
jurisdictionIdYes
jurisdictionFidelityNo

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly/openWorld/idempotent/destructive safety, so the bar is lower. The description adds meaningful behavioral context by disclosing per-jurisdiction output fidelity: Seattle returns 'full', nine verified cities return 'wa-baseline-stub' until backfill, and unverified jurisdictions return no-spec. This goes beyond the annotations without contradicting them.

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?

Three sentences with zero filler: purpose, usage context, and output-fidelity caveat each earn their place. The most decision-relevant information is front-loaded in the first sentence.

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 rich input schema, output schema, and annotations, the description is complete for selecting and calling the tool. It covers the tool's purpose, the distinguishing sibling, and the critical jurisdiction-dependent output behavior. It also appropriately does not re-explain return values since an output schema is present.

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 100% and every parameter already has a clear description, so the baseline is 3. The description adds no additional per-parameter semantics; it mentions output fields like triggers and source citations, which relate to the return payload rather than the input schema.

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: 'Resolve the structured submittal-item set for a specific parcel + permit scope.' It clearly identifies what the tool returns (per-item checklist with triggers, source citations, filler actor, gap-resolution path) and explicitly distinguishes itself from check_permit_requirements, making sibling differentiation immediate.

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

Usage Guidelines5/5

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

It provides explicit when-to-use guidance: use when you need the per-item checklist, not the rule-level summary from check_permit_requirements. This names the alternative and the selection condition, leaving no ambiguity about tool choice.

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
Disambiguation2/5

Several permit-related tools have overlapping boundaries: answer_permit_question, check_permit_requirements, and get_permit_rule_details all return timeline/fee/submittal information and can answer 'do I need a permit' style questions. get_material_catalog and get_material_options also target similar material-selection needs. The descriptions help, but an agent could easily select the wrong tool in the permit cluster.

Naming Consistency5/5

All 36 tools follow a consistent snake_case verb_noun pattern, with get_ for single-item lookups and list_ for collection queries. There are no camelCase or mixed-style exceptions, so the naming is predictable and scannable.

Tool Count2/5

36 tools is well above the 25+ threshold and feels heavy even for a multi-domain construction assistant. Several retrieval tools overlap (list_services/list_projects/list_blog_posts vs search_content, get_material_catalog vs get_material_options), suggesting consolidation opportunities.

Completeness4/5

The permit workflow is well covered from parcel lookup through requirements, fees, submittals, and data freshness, and the prospect journey has services, estimates, financing, weather, reviews, and contact submission. Minor gaps exist, such as no active permit-status lookup and no way to create/update content, but these are outside the apparent read-only/lead-gen scope.