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Crypto market pulse: BTC/ETH/SOL price, Fear & Greed, perp funding and stablecoin flows in one call

crypto_pulse

Use when an agent needs a one-call crypto market snapshot before acting. Input: none. Output: JSON one-line summary; BTC, ETH, SOL price, 24 h change, funding APR, OI, volume; Crypto Fear & Greed value, label, 1 d/7 d change with attribution; OI-weighted perp funding with highest/lowest markets; onchain stablecoin supply and 24 h/7 d net mint or burn. Example: /v1/crypto/pulse Price: $0.002 USDC (Base or Solana) via x402.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "crypto_pulse"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It usefully discloses that the call is paid ($0.002 USDC on Base or Solana via x402) and enumerates the returned fields, which implies a read-only snapshot. It does not state data freshness/cadence, rate limits, or failure behavior — meaningful gaps for a market-data tool with zero annotation coverage.

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

Conciseness5/5

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

Front-loaded with the trigger condition, then input, then output contents, then the payment example. Every sentence earns its place — the output enumeration is dense but necessary given there is no output schema. The trailing example line is slightly compressed but still readable.

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 output schema, the description does the heavy lifting by enumerating the return payload field by field, and it discloses the payment mechanism. The main omission is data freshness — no indication of quote timestamps or update cadence, which matters for a market snapshot used immediately 'before acting.'

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 takes zero parameters, so the baseline is 4. The description explicitly confirms 'Input: none,' removing any ambiguity about required arguments; there is no further parameter meaning to add.

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 names a specific capability: a single-call market snapshot covering BTC/ETH/SOL prices, Fear & Greed, perp funding, and stablecoin flows. It is unambiguous what the tool returns, though it never names a sibling (e.g., crypto_perp_funding or crypto_stablecoins) as the depth alternative, so differentiation is implied rather than stated.

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?

'Use when an agent needs a one-call crypto market snapshot before acting' gives a genuine when-to-use trigger and signals this is an aggregation/overview tool. However, there is no when-not guidance and no mention of the sibling tools that provide deeper single-domain data, so the agent must infer that division of labor from the tool list.

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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