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lzinga

US Government Open Data MCP

usda_livestock

Read-only

Retrieve livestock inventory, production, and slaughter data for cattle, hogs, chickens, milk, and eggs. Filter by state, year, and category to analyze agricultural statistics.

Instructions

Get livestock data — inventory, slaughter, production. Commodities: CATTLE, HOGS, CHICKENS, MILK, EGGS

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commodityYesCATTLE, HOGS, CHICKENS, MILK, EGGS
stateNoState code. Omit for national
yearNoYear
categoryNoINVENTORY, PRODUCTION, SALES
Behavior3/5

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

Annotations already indicate readOnlyHint=true. The description adds the data types (inventory, slaughter, production) but does not discuss rate limits, pagination, or data freshness. Minor inconsistency: description says 'slaughter' while schema category says 'SALES'.

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 concise sentences covering purpose and commodities, no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema. Description does not explain return structure, pagination, or how to use parameters together. Lacks differentiation from usda_ag_query. Inconsistency between 'slaughter' and 'SALES' reduces completeness.

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 already documents parameters. The description lists commodities and category values, mostly repeating schema. It adds no extra semantics beyond schema, except introducing inconsistency with 'slaughter' vs 'SALES'.

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 retrieves livestock data with specific categories (inventory, slaughter, production) and lists commodities. It distinguishes from siblings like usda_crop_data and usda_prices.

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?

No explicit guidance on when to use this tool versus alternatives. The purpose is implied but no exclusions or comparisons provided.

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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