Skip to main content
Glama

Municipal Property Violations

civicdataforge--property-violations

Use for municipal building, property, and code-violation research in supported jurisdictions. Do not use for STR licensing or restaurant health inspections; choose the corresponding permit or inspection tool. 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 city building code-enforcement / property-violation registries to pull.
statusNoReturn all violations, or only currently OPEN/active ones (the distress signal buyers usually want).all
maxRecordsPerCityNoCap records per city, newest first (leave empty to pull the full registry).

TDQS

A4.7/5.0
Behavior5/5

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

The description discloses important side effects and operational constraints beyond what annotations provide: it starts an Apify Actor using APIFY_TOKEN, may consume Apify usage, waits up to 60 seconds, returns at most 1,000 rows, and does not modify government records. This complements 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?

The description is compact and front-loaded. The first sentence states the core purpose, the second gives exclusions, and the third covers operational behavior, timeout, limits, and side effects. Every sentence earns its place without redundant filler.

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?

The description is complete enough for an agent to decide when to use the tool and to understand invocation consequences: authentication, usage cost, timeout, result cap, and non-modification of government records. Parameter details are already fully covered in the schema, so no important selection or invocation context is missing.

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%, with each parameter already described in the input schema: cities, status, and maxRecordsPerCity all have meaningful descriptions and defaults. The main description adds no further parameter-level semantics, so the baseline of 3 applies.

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 uses a specific verb with a clear resource: 'Use for municipal building, property, and code-violation research in supported jurisdictions.' It also names what this tool is not for, STR licensing and restaurant health inspections, which distinguishes it from relevant sibling tools even without opening their schemas.

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 explicitly states when to use the tool, when not to use it, and points to alternatives: 'Do not use for STR licensing or restaurant health inspections; choose the corresponding permit or inspection tool.' An agent can route correctly based on this guidance alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.