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charles-gentry

rb209-mcp

rb209_field_site_class_item

Identify a field's site class from soil type, altitude, postcode, and country ID. Use this site classification to inform RB209 nutrient management decisions.

Instructions

GET /api/Field/SiteClassItem/{soilTypeId}/{altitude}/{postcode}/{countryId} — Site class of field.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
altitudeYesThe altitude of the field
postcodeYesFirst half of postcode, eg: AB12
countryIdYesCountry id
soilTypeIdYesThe soil type id

Schema Changelog

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

  1. First observedv0.3.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of explaining behavior. It only restates the GET endpoint and the general concept of a site class, without disclosing whether a single item is returned, what fields it contains, how errors behave, or whether any side effects occur. 'Site class of field' is too thin to be fully transparent.

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 description is a single concise line with no filler and places the endpoint first. It is efficient, but the brevity comes at the cost of missing useful behavioral and usage context.

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?

For a simple scalar-parameter GET lookup, the schema covers all required inputs. However, there is no output schema and no description of what the returned site class item contains, nor any clarification against the closely named sibling tools, leaving the description less complete than it could be.

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?

The input schema already provides descriptions for all four parameters (altitude, postcode, countryId, soilTypeId), so the schema covers 100% of the parameter semantics. The description adds no additional parameter detail, which keeps this at the baseline of 3.

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 names the HTTP verb and resource ('GET /api/Field/SiteClassItem/...') and states the outcome ('Site class of field'), making it clear this is a lookup operation. However, it does not explain what a 'site class item' actually is or how it differs from the similarly named sibling tools rb209_field_site_class and rb209_field_site_classes.

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?

There is no guidance about when to use this tool versus its siblings, no mention of prerequisites, and no indication of what scenarios call for this specific endpoint. An agent must infer that the path parameters define the usage 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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