get_forecast
Get 7-day weather forecast for an agricultural region
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| location | No | Location key | IL-central |
Get 7-day weather forecast for an agricultural region
| Name | Required | Description | Default |
|---|---|---|---|
| location | No | Location key | IL-central |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does disclose the forecast horizon (7 days), which is genuinely useful behavior context, but says nothing about units, update cadence, geographic resolution, or what happens when the location is omitted and the default applies.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One front-loaded sentence with zero filler; nothing is wordy or redundant. It is efficient, though the brevity is partly the cause of the missing behavioral detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read tool with a fully documented optional parameter and no annotations or output schema, the description is minimally complete. The key missing element is any signal separating it from get_weather, which leaves the agent to guess between the two.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the single location parameter is documented with a default, so the schema does the heavy lifting. The description adds no meaning beyond the schema, such as what a valid location key looks like. Baseline 3 applies for full-coverage single-parameter tools.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb (Get), resource (weather forecast), and scope (7-day, agricultural region), so the purpose is unambiguous. However, it never distinguishes itself from the sibling get_weather, which an agent would have to disambiguate on its own.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance and no exclusion or alternative named. With a sibling tool literally called get_weather sitting next to it, the absence of any routing rule is a real gap.
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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