Skip to main content
Glama
lzinga

US Government Open Data MCP

by lzinga

epa_superfund

Read-onlyIdempotent

Retrieve Superfund hazardous waste sites by state, including NPL status and cleanup progress. Cross-reference site data with Census demographics, CDC health, HUD housing, and USAspending cleanup funding.

Instructions

Get Superfund (CERCLA) contaminated sites by state. Returns site name, location, NPL status, and cleanup progress. NPL statuses: 'F' (Final NPL (active cleanup)), 'P' (Proposed NPL), 'D' (Deleted from NPL (cleanup completed)), 'N' (Not on NPL). Cross-reference with Census demographics, CDC health data, HUD housing values, and USAspending cleanup funding.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowsNoMax results (default 100)
stateYesTwo-letter state code: 'NJ', 'CA', 'TX'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2026.4.11
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observedv2026.3.9

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds valuable behavioral context by explaining the NPL status codes (F, P, D, N) and the returned cleanup progress, which are essential for interpreting results. It does not contradict annotations and adds useful detail beyond what annotations provide.

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 approximately three sentences and front-loads the main purpose immediately. The NPL status enumeration is necessary for correct interpretation and is presented compactly. There is no redundant fluff, and every sentence contributes to understanding the tool's behavior and use.

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?

Given two parameters (one required, one optional) and no output schema, the description sufficiently explains what the tool returns and includes the crucial NPL status interpretation. It also suggests cross-referencing with other datasets, which is helpful for broader analysis. It does not mention pagination beyond the rows parameter (which schema covers) or error handling, but for a simple state-query tool these are minor omissions.

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% for both parameters: 'state' includes a clear description of two-letter codes, and 'rows' includes max results and default. The description does not add any additional parameter-specific guidance beyond what the schema already provides, so it does not elevate the semantics beyond the baseline for high coverage.

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 clearly states the verb 'Get' and the resource 'Superfund (CERCLA) contaminated sites' with a scope of 'by state.' It explicitly lists the returned fields (site name, location, NPL status, cleanup progress) and provides the NPL status codes. This distinguishes it from sibling EPA tools like epa_facilities or epa_toxic_releases, which cover other data types.

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

Usage Guidelines4/5

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

The description implies usage context by mentioning cross-referencing with Census, CDC, HUD, and USAspending data, which suggests analytical use cases. However, it does not explicitly state when not to use this tool or name alternative tools for different data needs. It provides clear context but lacks exclusions or alternative routing.

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

Deploy Server

Other Tools