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get_copper_price_benchmark

Read-only

IMF Grade A copper price in USD per metric ton with year-over-year change and industrial demand significance note. Use as a coincident indicator for global manufacturing and construction cycles. Source: FRED / IMF. $0.02 atomic. Cryptographically attested with a post-quantum signed settlement receipt. Verify at trust.stratalize.com/verify. $0.02 USDC per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds meaningful operational context: cost per call ($0.02 USDC), cryptographic attestation, verification URL, and data source (FRED / IMF). These go beyond the annotation safety profile and help an agent anticipate side effects and trust requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core content and then gives usage, source, cost, and verification details. However, it suffers from minor redundancy ('$0.02 atomic' and '$0.02 USDC per call') and an unclear term ('atomic') that adds confusion rather than clarity.

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

Completeness4/5

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

For a zero-parameter, read-only tool with no output schema, the description covers the key aspects: what data it returns, the source, a usage signal, cost, and verification steps. It does not specify the response structure, but the primary content is clearly described and sufficient for correct invocation.

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

Parameters4/5

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

The tool has zero parameters and schema description coverage is 100%, so no parameter documentation is required. The description still adds value by explaining the output content (price, YOY change, demand significance note), which partially compensates for the absence of an output schema.

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 names a specific resource ('IMF Grade A copper price in USD per metric ton') and details what it returns (price, year-over-year change, demand note). This clearly distinguishes it from generic siblings like get_commodity_benchmark or get_gas_benchmark.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives a clear usage context: 'Use as a coincident indicator for global manufacturing and construction cycles.' It does not explicitly name alternatives or exclusions, but the specialized copper-scope makes the intended use unambiguous enough.

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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