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CivicDataForge Government Evidence

EPA ECHO Facility Compliance Evidence

civicdataforge--epa-echo-facility-compliance

Use for a bounded EPA ECHO facility query that preserves published identity, compliance, inspection, and enforcement evidence while keeping environmental safety UNKNOWN. 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
zipNo
cityNo
stateNo
facilityIdNoExact 12-digit Facility Registry Service ID, for example 110000367567.
facilityNameNoPublished facility name. Add location fields to reduce ambiguity.
maxCandidatesNo
nameMatchModeNoExact is the responsible default. Contains is discovery-only and may require review.exact
streetAddressNoFull or partial published street address. Address-only searches also require city, state, or ZIP.
includeProgramDetailsNo

TDQS

A3.6/5.0
Behavior5/5

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

Beyond what annotations provide, it discloses concrete side effects: launching a bound Apify Actor with the caller's token, possible Apify usage cost, a 60-second wait, a 1,000-row cap, and no modification of government records. This gives the agent essential operational context for a call that is not purely read-only despite not altering government data.

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: two sentences front-load the purpose and then list the invocation behaviors that matter. The phrase 'keeping environmental safety UNKNOWN' is unexplained jargon, which keeps it from being fully crisp.

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?

It covers cost, duration, and output-size expectations, which is valuable for an external Actor invocation. But with nine optional parameters, no required field, and no output schema, the description alone is not enough to tell an agent exactly how to construct a query or interpret the returned evidence.

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 44%, and the tool description adds no parameter-specific guidance. It mentions boundedness and row limits but does not clarify how to choose among zip, city, state, facility name, address, or maxCandidates, leaving most param semantics to the schema.

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 states a specific resource and action: a bounded EPA ECHO facility query that preserves identity, compliance, inspection, and enforcement evidence. It is more specific than the title alone but does not explicitly contrast this with sibling tools such as the evidence gateway, so it stops short of full differentiation.

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?

It gives a clear use-case signal ('Use for a bounded EPA ECHO facility query') and warns about Apify usage consumption, which helps an agent decide whether the cost is acceptable. However, it does not name any sibling or state when not to use this tool, so the routing guidance is implied rather than explicit.

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
Disambiguation3/5

Most domain tools are well-scoped with explicit cross-references (e.g., FL DBPR vs. STR registry, Texas vs. multistate childcare). However, the evidence-gateway overlaps with EPA, U.S. property, and other specialized tools by describing similar intake categories, creating ambiguity about when to use the router versus the domain-specific tool.

Naming Consistency3/5

The specialized tools consistently use the civicdataforge-- prefix with descriptive noun phrases, while the generic actor tools use imperative verb_noun style. The naming is readable and predictable within each subgroup, but the mixed conventions and the awkward doubled prefix in civicdataforge--civicdataforge-evidence-gateway prevent full consistency.

Tool Count4/5

Fourteen tools is reasonable for a broad government-evidence server covering many data domains plus an async run lifecycle. The count is not excessive, though the gateway and several overlapping domain-specific tools add some redundancy.

Completeness4/5

The tool set covers a wide range of evidence domains and provides complete async workflow coverage: launch queries, check run status, fetch dataset items, read KVS records, and abort runs. Minor gaps remain, such as no explicit way to enumerate supported jurisdictions or sources, and the gateway's broad categories are underspecified.

Resources