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Glama

get_soil_conditions

Retrieve current and next-48-hour soil temperature and moisture across multiple depths for a coordinate, with a sowing guidance note.

Instructions

Summarize current and next-48-hour soil conditions.

Soil temperature is degrees Celsius and soil moisture is volumetric water content in m³/m³ at the available 0-7, 7-28, 28-100, and 100-255 cm depths. The forecast covers the current time through approximately 48 hours in the resolved timezone. The sowing note is a rough guide only: many crops prefer about 8-10 C at seed depth, but crop, soil, and local practice matter. Example: get_soil_conditions(42.36, -71.06).

Input Schema

NameRequiredDescriptionDefault
latYes
lonYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the burden well: it discloses units (Celsius, m³/m³), the four depth bands returned, the ~48-hour forecast horizon, timezone resolution behavior, and a caveat that the sowing note is a rough guide. It does not address error behavior or data source, which keeps it below a 5.

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 purpose is front-loaded in the first sentence, followed by units, forecast window, caveat, and example in a logical order. Every sentence carries information; the caveat sentence is the only slightly padded one.

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?

The tool is simple (two required numeric params) and an output schema exists, so return structure needn't be explained. The description covers semantics, units, horizon, and the interpretive caveat, leaving only coordinate validity/error handling unstated.

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 0% and neither lat nor lon has a description. The example call conveys decimal-degree coordinates and the lat-then-lon ordering, and the negative longitude implicitly signals the hemisphere convention, but no ranges or validation rules are given.

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 opens with a specific verb and resource (summarize soil conditions) plus an explicit temporal scope (current + next 48 hours). It is clearly distinguishable from siblings like get_frost_risk and get_water_balance by the soil temperature/moisture subject matter, though no sibling is named.

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?

Usage is only implied: the sowing note context hints at agricultural decision-making use, but there is no explicit statement of when to prefer this over get_growing_degree_days or get_water_balance, nor any preconditions (e.g., that coordinates must already be resolved).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.