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monitor_atmospheric_emissions

Monitor atmospheric trace gas emissions (NO2, SO2, CO, CH4) using Sentinel-5P TROPOMI data and OpenAQ station validation. Detect plumes and assess EU directive compliance.

Instructions

Monitor atmospheric trace gas emissions (NO2, SO2, CO, CH4 Methane) using Sentinel-5P TROPOMI tropospheric column densities correlated with open OpenAQ ground station validation. Zero-config: Uses open Sentinel-5P & OpenAQ telemetry. No API keys or credentials required.

Args: bbox: Bounding box [min_lon, min_lat, max_lon, max_lat] in WGS84. gas: Target trace gas ('NO2', 'CH4', 'SO2', or 'CO'). Default is 'NO2'. datetime_range: Acquisition date window (e.g. '2024-06-01/2024-06-30'). format: Output format ('summary', 'geojson', or 'csv').

Returns: Tropospheric column densities (mean/max), plume detection status, EU directive compliance, and correlated ground station measurements.

References:

  • Veefkind, J. P., et al. (2012). Remote Sensing of Environment, 120, 70-83. DOI: 10.1016/j.rse.2011.09.027

  • van Geffen, J., et al. (2020). Atmospheric Measurement Techniques, 13(3), 1315-1335. DOI: 10.5194/amt-13-1315-2020

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gasNoNO2
bboxYes
formatNosummary
datetime_rangeNo2024-06-01/2024-06-30

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the data sources, that no API keys are needed, that it correlates satellite measurements with ground stations, and what outputs are produced. It does not cover rate limits, latency, or failure behavior, which keeps it just short of a 5.

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 definition is well-structured and front-loaded, with the core purpose in the first line followed by a compact Args/Returns breakdown. Minor redundancy in the Zero-config sentence and the appended references add a small amount of nonessential weight.

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 tool with four parameters, no annotations, and moderate scientific complexity, the description covers the main context: purpose, data sources, credential-free access, return contents, and parameter semantics. It could still explain what each output format yields and mention limitations like temporal availability.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but this description compensates fully by documenting every parameter: bbox order and CRS, gas choices and default, datetime_range format with an example, and format options. This goes well beyond the bare schema.

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 opens with a specific verb and resource: 'Monitor atmospheric trace gas emissions' using Sentinel-5P TROPOMI and OpenAQ validation, and names the exact gases (NO2, SO2, CO, CH4). This clearly distinguishes it from sibling monitoring/detection tools such as detect_active_wildfires or monitor_crop_phenology.

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 tool's intended use is implied strongly by the purpose and the 'Zero-config' line, which tells agents no credentials are required. However, it never explicitly states when to prefer this tool over alternatives or what conditions would make a sibling tool more appropriate, so guidance is only implied.

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