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epa_facility_compliance

Read-onlyIdempotent

Report a facility's current compliance status and recent non-compliance history by environmental program (Clean Air Act, Clean Water Act, RCRA hazardous waste, Safe Drinking Water Act). Shows quarters in non-compliance, quarters in significant non-compliance, and last inspection per statute. Requires an EPA Registry ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
registry_idYesEPA Registry ID (FRS ID), the numeric facility identifier returned by epa_facility_search (e.g. '110001136271').

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare this as a read-only, idempotent, non-destructive operation. The description adds useful detail about what the report contains, which goes slightly beyond the annotations. It does not disclose potential edge cases, data availability caveats, or whether the report may omit facilities with no compliance history, but for a read-only report the description is adequate.

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?

Two tight sentences: the first states the core purpose and output detail; the second gives the only prerequisite. No filler, no repetition of schema metadata, and the most important facts are front-loaded.

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

Completeness4/5

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

For a one-parameter read-only tool, the description provides adequate context: it names the covered statutes, the kind of compliance data returned, and the required input. There is no output schema, so describing the returned metrics was necessary and done well. A small gap is the lack of any note about handling facilities with no recent inspections or non-compliance records.

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?

There is only one parameter, registry_id, and the schema description fully documents it, including type, source tool, and an example. The description's mention of 'Requires an EPA Registry ID' adds no semantic detail beyond the schema. At 100% schema coverage, the baseline of 3 applies.

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 names a clear verb and resource: it reports a facility's current compliance status and recent non-compliance history by environmental program. It also lists specific outputs ('quarters in non-compliance', 'last inspection per statute'), making the tool's function concrete. It does not explicitly distinguish itself from epa_facility_details or epa_enforcement_search, so it falls just short of a 5.

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 description implies when to use the tool: when you have an EPA Registry ID and need compliance status/history for a facility. It explicitly states the prerequisite ('Requires an EPA Registry ID'), which is useful. However, it provides no guidance on when not to use it or which sibling tools to prefer, such as epa_enforcement_search for enforcement records or epa_facility_details for general facility information.

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

B3.2/5.0
Disambiguation2/5

Many tools overlap heavily across domains: caselaw_search vs court_case_search vs court_opinion_search, caselaw_citation_lookup vs court_citation_resolver, and a cluster of company due-diligence tools (company_trust_check, counterparty_risk_score, entity_dossier, issuer_diligence_dossier, kyb_aml_evidence_case_file) that all screen a company for sanctions/risk/standing. With 290 tools, an agent will frequently face multiple equally plausible choices for the same user intent.

Naming Consistency3/5

The vast majority of tools follow a clean domain-prefix + snake_case pattern (census_, eia_, fmcsa_, npi_, cfpb_, etc.), but there are notable exceptions: entity_resolve and resolve_entity are reversed duplicates, reg_search (Federal Register) sits next to reg_cfr_search (CFR) with confusingly similar names, and carrier_monitor_recheck deviates from the carrier_vetting_* family.

Tool Count1/5

290 tools is an extreme count under any rubric, far exceeding even the 50+ threshold for the lowest score. While the group-filtering mechanism and meta-tools like list_tool_groups and search_available_datasets mitigate the practical burden, the raw surface is still massively oversized for an agent to select from accurately and efficiently.

Completeness4/5

For a read-only data-aggregation server, coverage is remarkably comprehensive across 59 domains, and generic fallbacks like cdc_dataset_query, eia_series_lookup, fred_observations, and bls_series prevent most dead ends. Minor gaps exist (a single GitHub tool, demo-only property_lookup coverage, no write/update operations anywhere), but the stated data-access purpose is well served.

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