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charles-gentry

rb209-mcp

rb209_grass_season

Retrieve grass season details by season ID to inform nutrient management and planning decisions.

Instructions

GET /api/Grass/GrassSeason/{seasonId} — This endpoint is used to return grass season.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seasonIdYesThe season 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?

With no annotations present, the description carries the burden of behavioral disclosure. It only states 'GET' and that the endpoint 'returns' a grass season, adding little behavioral context beyond the operation itself. It does not mention response format, potential errors, or any lookup semantics.

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 short and front-loads the HTTP method and path, which is useful for an agent. It contains minimal filler, though the phrase 'is used to return' is slightly roundabout and could be tightened to 'Returns the grass season for seasonId.'

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 low-complexity single-parameter lookup, the description is minimally adequate: it identifies the endpoint and its purpose. However, with no output schema and no mention of the response contents, an agent cannot fully predict what data will come back or how this lookup differs from the plural rb209_grass_seasons endpoint.

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%, and the single parameter seasonId is already documented as 'The season id' in the schema. The description adds no additional parameter detail, so the baseline of 3 applies because the schema carries the explanatory load.

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 a specific verb ('return'), resource ('grass season'), and exposes the exact endpoint path with the seasonId placeholder. It is clear enough on its own, but it does not distinguish this singular lookup from the sibling rb209_grass_seasons tool, which likely lists multiple seasons.

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 alternatives. Given the existence of rb209_grass_seasons and many other grass-related endpoints, the description leaves the selection decision entirely to inference. It provides no context, exclusions, or sibling comparisons.

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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