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APEX Runner Crypto Signals

grid_levels

$0.007 — ATR-calibrated optimal grid trading levels for BTC, ETH, SOL, AVAX. Returns precise buy/sell grid spacing derived from APEX Runner's live grid bots.

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": "grid_levels"
  }
}

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?

With no annotations, the description carries the full burden. It does disclose two things structured fields do not: the $0.007 cost and the provenance of the numbers (live grid bots from APEX Runner). It does not say whether results are cached or real-time, whether the single coin input restricts output to one grid or a full ladder, or anything about freshness, which matters for trading levels.

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 tight sentence with the price front-loaded and the data source trailing. No filler, though the em-dash price prefix is a billing artifact rather than functional guidance.

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, no-annotation, no-output-schema tool, the description is adequate but thin: it does not characterize the return shape (single level pair vs. a range of levels), the ATR window, or whether levels are directional. An agent can call it correctly but cannot predict what it will get back.

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% with an enum and a default, so the schema already fully documents the 'coin' parameter; the description adds no syntax or selection guidance beyond restating symbols. The partial coin list slightly undercuts rather than reinforces the enum, so this sits at the baseline rather than above it.

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 concrete resource ('optimal grid trading levels', 'buy/sell grid spacing') and names the mechanism (ATR-calibrated, derived from APEX Runner's live grid bots). An agent can tell this is a grid-spacing calculator rather than a health/score tool. Minor deduction: the coin list (BTC, ETH, SOL, AVAX) omits LINK and XRP, which the schema accepts, creating ambiguity about coverage.

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 statement of when to prefer this over siblings such as grid_health or grid_health_score, and no prerequisites or exclusions. The agent must infer that 'I want grid levels' maps here purely from the name and one-line purpose.

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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