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US STR Permit Registry

civicdataforge--str-permit-registry

Use for address, permit-ID, or jurisdiction research across 31 supported US short-term-rental permit sources. For Florida statewide DBPR lodging licenses, use fl-dbpr-vacation-rentals instead. Address mode preserves explicit evidence decisions, scope, and receipts. Starts the bound Apify Actor with the caller's APIFY_TOKEN, may consume Apify usage, waits up to 60 seconds, and returns at most 1,000 source-linked rows without modifying government records.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
citiesNoWhich of the 29 covered cities to pull. Published fields vary by city — see the README coverage table.
statusNoReturn all permits, or only currently-active licenses.all
snapshotNoPersist a query-scoped baseline and compare it with the prior complete run. Requires maxRecordsPerCity to be cleared; capped results are rejected so they cannot create false disappearance alerts.
maxRecordsPerCityNoCap records per city (leave empty for the full registry).
resolveJurisdictionNoUse coordinates and Census boundaries to distinguish an incorporated city from an unincorporated county area. Disable for a faster raw-source pull.

TDQS

A4.2/5.0
Behavior5/5

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

The description discloses important side effects and constraints not inferable from annotations: starts the bound Apify Actor with the caller's APIFY_TOKEN, may consume Apify usage, waits up to 60 seconds, returns at most 1,000 rows, and does not modify government records. This aligns with the annotations (readOnlyHint=false, openWorldHint=true) and adds meaningful operational context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded with purpose, then alternative, then operational caveats. It wastes no words, but the unexplained phrase 'Address mode' and the dense behavioral list make it slightly less crisp than it could be.

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

Completeness3/5

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

There is no output schema, so the description must explain return values. It says 'returns at most 1,000 source-linked rows' but does not describe the row structure, pagination, failure modes, or meaning of 'source-linked.' The undefined 'Address mode' and the 31-vs-29 source mismatch further reduce completeness.

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%, so the baseline is 3. The tool description references 'Address mode' and 'address, permit-ID' research, but no schema parameter accepts an address or permit ID, and 'Address mode' is not defined in the schema. This creates some ambiguity rather than clarifying parameter usage.

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 states the tool's function: address, permit-ID, or jurisdiction research across US short-term-rental permit sources, and distinguishes it from the Florida DBPR sibling. However, it claims '31 supported' sources while the schema enum lists 29 cities/counties, creating a minor factual discrepancy that could confuse an agent.

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?

Explicitly says when to use this tool ('Use for address, permit-ID, or jurisdiction research') and names the specific alternative for Florida statewide licenses ('use fl-dbpr-vacation-rentals instead'). This is clear routing guidance with no ambiguity.

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

A4.1/5.0
Disambiguation4/5

The domain-specific tools are clearly separated by record type, with explicit cross-references that reduce confusion between similar categories like Texas vs. multistate childcare or STR permits vs. Florida DBPR lodging. The main ambiguity is the broad evidence-gateway tool, which overlaps with several specialized query tools and could be selected instead of the more precise one.

Naming Consistency4/5

The domain tools follow a consistent civicdataforge-- prefix pattern, and the Apify utilities follow a get-/abort- verb pattern, making the overall set readable. Minor deviations include the awkward civicdataforge--civicdataforge-evidence-gateway duplication and the mix between noun-style domain tools and verb-style utility tools.

Tool Count5/5

With 14 tools, the set is well-scoped: ten specialized public-record query tools plus four Apify lifecycle/data-access utilities. Each tool has a distinct role, and the count is appropriate for the breadth of supported public records without feeling bloated.

Completeness4/5

The tool surface covers a broad range of public-record evidence categories and provides the necessary run, dataset, and key-value-store operations for working with results. Minor gaps include a lack of discovery tools for listing supported jurisdictions/sources and no general-purpose search across all record types, but the core evidence workflows are well covered.