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spectral_bsi

Calculate Bare Soil Index (BSI) using SWIR, Red, NIR, and Blue bands to map exposed soil and monitor desertification.

Instructions

Calculate Bare Soil Index (BSI) from SWIR, Red, NIR, and Blue band reflectance values. BSI = ((SWIR + Red) - (NIR + Blue)) / ((SWIR + Red) + (NIR + Blue)). Values range from -1 to 1. Used for mapping exposed soil, desertification monitoring, and distinguishing bare soil from vegetated and built-up areas.

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.
swirYesSWIR band reflectance value (0–1). Shortwave Infrared band, typically Sentinel-2 Band 11 or Landsat Band 6.
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses the formula, output range (-1 to 1), and typical applications. However, it does not mention prerequisites like atmospheric correction or potential division-by-zero issues, which would be helpful.

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 extremely concise: two sentences that cover purpose, formula, and usage. No redundant or irrelevant information. Front-loaded with the main action.

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?

With 4 simple numeric parameters and no output schema, the description adequately explains what the tool computes and why. It could mention that the return value is a single number, but overall it is sufficient.

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 detailed descriptions for each parameter (band reflectance values, typical sensors). The description adds the formula and application context but does not further clarify parameter usage beyond the 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 clearly states the tool calculates Bare Soil Index from four band reflectances, provides the formula, and lists its applications (mapping exposed soil, desertification monitoring, distinguishing bare soil). It is specific and distinguishes from sibling spectral indices.

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 soil-related analysis but does not explicitly state when to use BSI over other indices like NDBI or NDVI. No exclusions or alternatives are mentioned, leaving the agent to infer 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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