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critical_minerals

Critical-minerals supply signal for a commodity: global supply concentration + US import reliance + a refined vs mined production read. Free USGS/public data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commodityYesCritical mineral, e.g. lithium, cobalt, gallium.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are present, so the description must disclose behavior. It does describe the output content ('global supply concentration + US import reliance + a refined vs mined production read') and notes the data source, but it does not explicitly state that the operation is read-only, nor does it mention rate limits, error handling, or any side effects. The factual description helps but leaves some gaps.

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 that states the core function and key output components, followed by a brief note on data source. No wasted words, though the free-data remark is minor.

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 simple one-parameter tool with no output schema, the description adequately explains what the tool returns and its data source. It misses any mention of limitations or error conditions, but given the simplicity, it is fairly complete.

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%, so the parameter 'commodity' already explains what to provide. The tool description does not add additional meaning about the parameter beyond its role as input. Baseline 3 is appropriate since the schema handles the semantics.

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?

The description states it provides a 'supply signal' for a commodity and enumerates the specific components (global supply concentration, US import reliance, refined vs mined production). This clearly distinguishes it from the unrelated sibling tools (finance/crypto). Lacks an explicit verb like 'get' or 'fetch', but the purpose is unambiguous.

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?

The description implies when to use the tool (when you need critical-minerals supply data) and mentions the data is 'Free USGS/public data,' but gives no explicit conditions or alternatives. Since siblings are all unrelated, there is no need for differentiation, but no formal usage context is 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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