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Fear and Greed index

crypto.feargreed

Current crypto market sentiment 0-100 with 10-day history. Provided by Money Reactor — x402 paid APIs (founding provider) through the naxytra open provider network; routed and settled by the xytara runtime. Price: $0.001 per call or 1 credit with a spend key; a single x402 payment for it is $0.005 (the per-payment settlement minimum); failed calls are not charged. Not covered by the free allowance.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
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TDQS

A3.5/5.0
Behavior4/5

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

Annotations only flag openWorldHint and readOnlyHint=false, so the description carries real weight and delivers: exact cost ($0.001/call or 1 credit), the x402 settlement minimum, the fact that failed calls are not charged, and that the free allowance does not apply. That is unusually useful pre-call context. It stops short of saying whether the top-level return is a scalar plus history array versus an object with metadata.

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 purpose is correctly front-loaded in sentence one, and the pricing facts earn their place. However, the provider-branding chain ('Money Reactor — x402 paid APIs (founding provider) through the naxytra open provider network; routed and settled by the xytara runtime') is marketing padding that an agent does not need to call the tool and dilutes the actionable content.

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?

With no parameters and no output schema, the description must carry the return shape, and it does: a 0-100 sentiment value plus 10-day history. Cost and failure-billing behavior are covered. The only omission is the concrete response structure (field names/envelope), which is a minor gap for a scalar-returning tool.

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?

There are zero declared parameters and the schema is a free-form object, so there is no parameter semantics to explain; baseline 4 applies. The absence of any documented selector (e.g., timezone or history length) is worth noting only because the description advertises 10-day history as fixed.

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 opening sentence names the resource precisely: current crypto market sentiment on a 0-100 scale, returned with 10-day history. It is specific enough to distinguish from crypto.price or crypto.news, but it never explicitly contrasts itself with the closest sibling, crypto.market-pulse, so an agent still has to infer the boundary.

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?

Nothing states when to call this versus crypto.market-pulse, crypto.news, or ai.news-brief, and there are no exclusions or prerequisites beyond payment mechanics. The only conditional content is about billing, not about tool selection.

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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