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Magpie — USDA Agricultural Data for AI Agents

get_wasde_projection

Get USDA WASDE supply/demand projections for a commodity

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoCountry code or WORLD aggregateWORLD
commodityYesCommodity slug (e.g. corn, wheat, soybeans, rice, cotton)
market_yearNoMarketing year (e.g. 2026 = 2025/26 season)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

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 behavioral burden and mostly fails it. It does not say whether this returns only the latest report, how the WORLD default affects results, or whether market_year omission yields a default season.

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?

A single front-loaded sentence with no filler or redundancy. It is efficient, though its brevity is partly the source of the missing guidance noted elsewhere.

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?

The tool is simple and its parameters are fully documented in the schema, but with no output schema and no annotations the description should at least sketch what a projection result contains (e.g., per-market-year balance sheets). It is adequate but leaves real gaps.

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%, with the enum and the market_year example (2026 = 2025/26) fully documented in the schema, so baseline 3 applies. The description's phrase 'for a commodity' adds nothing beyond what the schema already states.

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?

Names a specific verb (Get) and resource (USDA WASDE supply/demand projections) scoped to a commodity, which is clear enough for selection. However it never distinguishes itself from sibling get_wasde_history, which an agent could easily confuse with this tool.

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?

No when-to-use guidance and no mention of alternatives such as get_wasde_history for prior releases or list_wasde_commodities for valid slugs. The agent must infer the selection criteria entirely from the name.

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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