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tunedforai

x402 crypto market structure

marketAnalyze

Analyze crypto market structure with pre-trade macro indicators including regime detection, DXY, VIX, fear/greed metrics, directional signals, and confidence scores for informed trading decisions.

Instructions

Full pre-trade macro analysis: regime detection, DXY, VIX, fear/greed, directional signal and confidence score.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenNoToken symbolBTC
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it mentions the analysis outputs, it doesn't describe execution characteristics like whether it's read-only, requires authentication, has rate limits, or what happens on failure. For a tool with no annotation coverage, this is a significant gap.

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?

The description is a single, efficient sentence that lists all analysis components. It's appropriately sized and front-loaded with the main purpose, though it could be slightly more structured by separating the analysis components for better readability.

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

Completeness3/5

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

Given the complexity of market analysis, no annotations, and no output schema, the description is moderately complete. It outlines what the analysis includes but lacks details on return format, error conditions, or behavioral constraints that would be needed for full contextual understanding.

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?

The description doesn't mention any parameters, but the input schema has 100% coverage with one parameter (token) fully documented. The baseline is 3 since the schema does the heavy lifting, though the description could have added context about why token selection matters for the analysis.

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 clearly states the tool performs 'Full pre-trade macro analysis' with specific components listed (regime detection, DXY, VIX, fear/greed, directional signal and confidence score). It specifies the verb 'analyze' and resource 'market' context, though it doesn't explicitly differentiate from sibling tools like marketFull or marketSnapshot.

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 description provides no guidance on when to use this tool versus alternatives like marketFull, marketOrderflow, or marketSnapshot. It mentions 'pre-trade' context but doesn't specify use cases, prerequisites, or exclusions relative to sibling tools.

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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