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Detect Fires by Satellite (NASA FIRMS)

earth.fires.detect
Read-onlyIdempotent

Active fire hotspots detected by NASA satellites (VIIRS, MODIS) — latitude, longitude, brightness, confidence, fire radiative power. Filter by bounding box and days. Near real-time updates (NASA FIRMS)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of days of data (1-5, default 1)
eastYesEastern longitude of bounding box (e.g. -114)
westYesWestern longitude of bounding box (e.g. -125 for California)
northYesNorthern latitude of bounding box (e.g. 42)
southYesSouthern latitude of bounding box (e.g. 32)
sourceNoSatellite sensor: VIIRS_SNPP_NRT (default, highest resolution), MODIS_NRT (legacy)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already indicate read-only, non-destructive, idempotent, and open-world behavior. The description adds context on data source (VIIRS, MODIS) and real-time updates, providing useful behavioral info beyond annotations. No contradictions.

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 a single, well-structured sentence that efficiently conveys the tool's purpose, key data, and filtering options. No redundant or extraneous information.

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?

Given the existence of an output schema, the description still covers all essential aspects: input parameters (bounding box, days, source), output fields (lat/lon, brightness, confidence, power), and data freshness (near real-time). No gaps remain.

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 descriptions for all 6 parameters. The description briefly mentions filtering by bounding box and days, but does not add significant meaning beyond what is already in the input 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 explicitly states the tool detects active fire hotspots via NASA satellites, lists key output fields, and mentions filtering by bounding box and days. It is specific and distinct from any sibling tools.

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 usage for retrieving fire hotspot data filtered by area and recency, but does not explicitly state when not to use or mention alternatives. Given the lack of overlapping siblings, it is adequate but minimal.

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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