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Scan forecast for frost and heat stress risk

get_frost_and_heat_risk

Scan forecast for frost, freeze, and heat stress risks to crops. Flags each day with temperature extremes that threaten crop health.

Instructions

Scan the daily forecast for temperature extremes that threaten crops: frost/freeze risk (low temperatures) and heat stress risk (high temperatures). Flags each day with any risk found.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of forecast days to scan (default 7).
frost_cNoTemperature at or below which frost risk is flagged, in Celsius (default 0).
latitudeYesLatitude in decimal degrees.
longitudeYesLongitude in decimal degrees.
hard_freeze_cNoTemperature at or below which hard-freeze risk is flagged, in Celsius (default -2).
heat_stress_cNoTemperature at or above which heat stress risk is flagged, in Celsius (default 32).
severe_heat_cNoTemperature at or above which severe heat risk is flagged, in Celsius (default 38).
Behavior3/5

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

No annotations are provided, so the description bears full responsibility. It mentions scanning the forecast and flagging risky days, but lacks details on output format, behavior with missing parameters, or any side effects. It is adequate but not thorough.

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?

Two sentences, no filler. The first sentence states the purpose, the second explains the output. Every word earns its place.

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?

With no output schema and no annotations, the description should provide more context on results and defaults. It mentions flagging days but not how the risk is represented. The tool has 7 parameters but the description lacks completeness regarding their use.

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%, so the schema itself documents parameters well. The description adds minimal parameter meaning (e.g., 'flags each day with any risk found'). Baseline is 3, and the description does not significantly enhance understanding.

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 scans forecast for frost/freeze and heat stress risks, specifying the threat to crops. It distinguishes from sibling tools like get_dry_spell_status or get_growing_conditions by focusing on temperature extremes.

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?

The description does not provide guidance on when to use this tool versus alternatives, nor does it mention prerequisites or when not to use it. It simply states what it does without contextual usage advice.

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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