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APEX Runner Crypto Signals

apex_composite

$0.007 — APEX composite crypto trading score 0-100 for BTC, ETH, SOL, AVAX. Aggregates Fear & Greed index, momentum breakout, volume, and market regime detection into a single conviction score with letter grade.

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": "apex_composite"
  }
}

Input Schema

NameRequiredDescriptionDefault
coinNoCryptocurrency symbol (default: BTC)BTC

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden; it does disclose the aggregation inputs (Fear & Greed, momentum breakout, volume, regime detection), the output shape (0-100 plus letter grade), and a price point of $0.007. It omits update cadence, whether the score is cached or computed on demand, latency, and any failure behavior for unsupported symbols.

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 dense sentence with the cost front-loaded and the deliverable immediately after; no filler. It is slightly compressed given how much is packed in, but nothing is wasted.

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?

For a one-parameter scoring tool the description covers the ingredients and return shape, which is most of what is needed. Without an output schema it should still state the letter-grade scale or interpretation thresholds and reconcile the asset list with the schema enum.

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 coverage is 100% and the parameter's own enum/default description fully documents the symbol argument, so the baseline is 3. However, the description contradicts the schema by listing only BTC, ETH, SOL, AVAX while the enum also permits LINK and XRP, which could cause an agent to skip valid symbols.

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?

States a specific resource (APEX composite score, 0-100 with letter grade) and enumerates a subset of supported assets, so an agent can immediately tell this is an aggregate conviction metric rather than a raw indicator. It does not differentiate itself from close siblings such as apex_alpha_score or agent_conviction_score, leaving the agent to guess which scoring tool to pick.

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?

No when-to-use guidance, no exclusions, and no mention of alternatives despite a crowded sibling set of scoring/regime tools. The description says what the score is made of but never when an agent should prefer it over regime, fear_greed, or apex_alpha_score.

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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