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spectral_evi

Calculate Enhanced Vegetation Index (EVI) from NIR, Red, and Blue band reflectance values to assess vegetation health while reducing atmospheric and soil background effects.

Instructions

Calculate Enhanced Vegetation Index (EVI) from NIR, Red, and Blue band reflectance values. EVI = 2.5 * (NIR - Red) / (NIR + 6Red - 7.5Blue + 1). EVI improves on NDVI by correcting for atmospheric and soil background influences. Particularly useful in high-biomass regions where NDVI saturates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nirYesNIR band reflectance value (0–1). Near-Infrared band, typically Sentinel-2 Band 8 or Landsat Band 5.
redYesRed band reflectance value (0–1). Red visible band, typically Sentinel-2 Band 4 or Landsat Band 4.
blueYesBlue band reflectance value (0–1). Blue visible band, typically Sentinel-2 Band 2 or Landsat Band 2.
Behavior4/5

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

No annotations provided, but description discloses the calculation formula and its advantages (atmospheric/soil correction). Does not mention authorization, rate limits, or destructive behavior; however, for a simple calculation tool, the description is sufficiently transparent.

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?

Three concise sentences with zero wasted words. Front-loads the core purpose and formula, then provides context. Excellent structure.

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 simple calculation tool with three numeric inputs and no output schema, the description explains the formula, its purpose, and when to use it. No additional information is necessary for correct use.

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 covers all three parameters with descriptions and ranges. The description repeats the formula but adds no parameter-specific details beyond the schema. Baseline 3 is appropriate given full schema 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?

Description clearly states the tool calculates EVI from NIR, Red, and Blue bands, provides the formula, and differentiates from NDVI by explaining its advantage in high-biomass regions. This strongly distinguishes it from sibling tools like spectral_ndvi.

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?

Explicitly states when EVI is useful (high-biomass regions where NDVI saturates), implying when not to use it. Implicitly suggests alternatives like NDVI, though not named directly. Sibling tool list includes spectral_ndvi for context.

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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