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charles-gentry

rb209-mcp

rb209_soil_nutrient_index_by_value_methodology

Retrieves a soil nutrient index value by specifying nutrient ID, applied nutrient volume in kg/ha, and methodology ID, enabling precise nutrient planning from the RB209 guide.

Instructions

GET /api/Soil/NutrientIndex/{nutrientId}/{nutrientValue}/{methodologyId} — Individual nutrient index item - filtered by nutrient id, nutrient value and methodology id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nutrientIdYesThe nutrient id to filter on
methodologyIdYesThe methodology id to filter on
nutrientValueYesVolume of the nutrient applied to filter on (kg/ha)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.3.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only restates the HTTP verb and filter semantics. It does not mention auth requirements, response shape, error behavior, rate limits, or any caveats about how the nutrient index item is computed.

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 front-loaded sentence containing the endpoint path and the essential filtering behavior. There is no filler or redundant elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The endpoint is simple and all parameters are documented, but the description omits how this endpoint differs from its close sibling, what a successful response contains, and any behavioral caveats. With no output schema or annotations, the agent is left with only the bare mechanics of the request.

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%, so the schema already documents all three parameters. The description adds no new meaning beyond restating the filter names and does not clarify relationships, allowed values, or units beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb (GET) and a specific resource ('Individual nutrient index item') and lists the three filters used to select it. It does not explicitly differentiate itself from the very similar sibling rb209_soil_nutrient_index_by_value_methodology_country, so it falls just short of a 5.

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

Usage Guidelines2/5

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

No guidance is given on when to use this endpoint versus near-identical siblings such as rb209_soil_nutrient_index_by_value_methodology_country or rb209_soil_nutrient_index_by_index. There are no use cases, exclusions, or alternative-selection hints.

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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