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fear_greed

Read-onlyIdempotent

Get the Crypto Fear & Greed index — composite 0-100 score, label, 7-factor breakdown, recent history (use fear_greed_monthly for long-term trends) — 7-factor crypto Fear & Greed sentiment index with the current score, label, contributing factors, and recent history. Cached ~5min.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelNo
scoreNo
factorsNo
historyNo
attributionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "attribution": {
      +      "$ref": "#/components/schemas/Attribution"
      +    },
      +    "factors": {
      +      "items": {
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "history": {
      +      "items": {
      +        "properties": {
      +          "date": {
      +            "type": "string"
      +          },
      +          "score": {
      +            "type": "number"
      +          }
      +        },
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "label": {
      +      "type": "string"
      +    },
      +    "score": {
      +      "type": "number"
      +    }
      +  },
      +  "type": "object"
      +}
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior, so the bar for added value is lower. The description adds the caching behavior (~5min), which is genuinely useful operational context beyond the annotations. No contradiction between description and annotations.

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 somewhat redundant: '7-factor breakdown' and 'contributing factors' are the same concept, and the second sentence repeats the score/label/history listing from the first sentence. The key usage hint is front-loaded, but the repetition costs it a higher score.

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 parameterless read-only tool with an output schema and annotations covering safety, the description covers the return contents, caching behavior, and points to a sibling for long-term trends. It is complete enough for correct invocation; it could mention what 'recent history' means but the output schema likely fills that gap.

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, so there is nothing for the description to explain beyond the schema. Schema description coverage is trivially 100% and the description correctly spends no space on parameters, warranting the baseline 4 for parameter-free tools.

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?

States a specific verb ('Get') and resource ('Crypto Fear & Greed index'), then enumerates the content: composite 0-100 score, label, 7-factor breakdown, and recent history. It also disambiguates from the sibling fear_greed_monthly by noting that one is for long-term trends, so an agent can tell this tool apart immediately.

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?

Explicitly tells the agent to use fear_greed_monthly for long-term trends, which is a clear usage condition. It does not mention the sibling fear_greed_history, so the routing guidance is good but not exhaustive. Overall, the description provides clear context on when to choose this tool over at least one alternative.

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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