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Critical Raw Minerals & ESG Compliance Oracle(x402)

simulate_procurement_rfq

Simulate multi-mineral battery-material RFQs to compute US IRA 50% FTA thresholds and FEOC 25% taint before awarding contracts, verifying compliance upfront.

Instructions

Simulates multi-mineral consignment RFQ for battery manufacturing. Computes US IRA 50% FTA threshold and FEOC 25% taint propagation before placing contracts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rfq_idYesBuyer agent RFQ identifier
cobalt_tonsYes
nickel_tonsYes
lithium_tonsYes
cell_chemistryNoTarget battery chemistryNCM811
pack_capacity_kwhNo
cobalt_origin_countryNoCOD
nickel_origin_countryNoIDN
cobalt_feoc_equity_pctNo
lithium_origin_countryNoAUS
nickel_feoc_equity_pctNo
lithium_feoc_equity_pctNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.6

TDQS

C2.9/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. 'Simulates' implies no side effects and 'before placing contracts' signals a dry-run gate, which is genuinely useful. However it never states whether execution is idempotent, whether state is persisted, what auth is needed, or what the simulation returns against a 12-parameter input.

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?

Two tight sentences with the domain and the two computed thresholds front-loaded; every clause carries information. It could add a routing sentence without becoming bloated.

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?

For a 12-parameter domain tool with zero annotation coverage and no output schema, the description omits what the simulation actually returns, how the FTA/FEOC results should be consumed before contract placement, and any parameter details. It establishes the domain but not enough to invoke the tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 17% (just rfq_id and cell_chemistry), leaving 10 parameters undocumented in the schema. The description gestures at the FTA-origin and FEOC-equity concepts that clearly map to origin_country and feoc_equity_pct fields, but it never explains units, defaults, or which parameter drives which threshold, so it does not compensate for the gap.

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?

States a specific verb (simulates) plus a precise resource (multi-mineral consignment RFQ for battery manufacturing) and names the two computations performed (IRA 50% FTA threshold, FEOC 25% taint propagation). This is clearly distinguished from origin-verification siblings like verify_cobalt_origin, though it never explicitly says how it relates to them.

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 phrase 'before placing contracts' hints at a pre-flight role, but there is no explicit when-to-use, no named alternative (e.g. the *verify_* origin tools), and no prerequisite or ordering guidance among the 31 siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.