New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

lmpr.beef.boxed_cutout

National weekly boxed beef cutout and individual cut prices (LM_XB459). Returns composite primal values (rib, chuck, round, loin, brisket, plate, flank), Choice and Select cutout values, individual box/cut prices by grade, ground beef, and trimming prices. Published Thursdays. Source: USDA LMPR D...

SERVERApibase SOURCEapibase-mcp-client
Low RISK CLASS
Category Read
Parameters 20 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-whiteknightonhorse-apibase/lmpr.beef.boxed-cutout.md

What lmpr.beef.boxed_cutout does on Apibase

AI agents call lmpr.beef.boxed_cutout to retrieve information from Apibase without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
report_date string — Report date in YYYY-MM-DD or M/D/YYYY format (e.g. "2026-06-27"). Omit for the most recent published report.
all_sections boolean — Return all report sections (price detail, primal values, etc.). Default true. Set false for summary only.

Parameters from the server's own tool schema.

Why lmpr.beef.boxed_cutout is rated Low

Retrieves public USDA beef pricing data with no side effects or modifications.

From the tool's definition Returns composite primal values, cutout values, box/cut prices. Published Thursdays.

Questions about lmpr.beef.boxed_cutout

What does the lmpr.beef.boxed_cutout tool do? +

National weekly boxed beef cutout and individual cut prices (LM_XB459). Returns composite primal values (rib, chuck, round, loin, brisket, plate, flank), Choice and Select cutout values, individual box/cut prices by grade, ground beef, and trimming prices. Published Thursdays. Source: USDA LMPR Datamart, US Government public domain. It is categorised as a Read tool in the Apibase MCP Server, which means it retrieves data without modifying state.

What parameters does lmpr.beef.boxed_cutout accept? +

lmpr.beef.boxed_cutout accepts 2 parameters: report_date, all_sections. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on lmpr.beef.boxed_cutout? +

Register the Apibase MCP server in PolicyLayer and add a rule for lmpr.beef.boxed_cutout: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Apibase. Nothing to install.

What risk level is lmpr.beef.boxed_cutout? +

lmpr.beef.boxed_cutout is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit lmpr.beef.boxed_cutout? +

Yes. Add a rate_limit block to the lmpr.beef.boxed_cutout rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block lmpr.beef.boxed_cutout completely? +

Set action: deny in the PolicyLayer policy for lmpr.beef.boxed_cutout. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides lmpr.beef.boxed_cutout? +

lmpr.beef.boxed_cutout is provided by the Apibase MCP server (apibase-mcp-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Apibase, and thousands of servers like it.

Across the catalogue

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Apibase's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.