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APEX Runner Crypto Signals

trend_confirmed

$0.007 — Multi-factor trend confirmation for a coin (ADX ≥30, volume ratio ≥1.5, BB expanded, whale confirms, F&G in neutral zone). Returns confirmed=true/false with per-factor breakdown. Query param: ?pair=BTC

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": "trend_confirmed"
  }
}

Input Schema

NameRequiredDescriptionDefault
pairNoTrading pair (default: BTC)BTC

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided the description carries the full burden. It does useful work beyond the schema by disclosing the cost ($0.007), the boolean return and a per-factor breakdown; however it never says whether the call is read-only, whether it is rate-limited or whether it requires credentials.

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?

One dense clause of factor criteria plus a return statement — front-loaded and nearly waste-free. The trailing '?pair=BTC' is mild redundancy against the schema's default of BTC.

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 one-parameter tool with no output schema, the description supplies both the decision rule and the response shape (confirmed=true/false plus per-factor breakdown), so an agent can call and interpret it. Only the safety/side-effect profile is left unstated.

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 of four pairs and a default, so the schema already documents the parameter fully. The line 'Query param: ?pair=BTC' restates the default rather than adding format or behavior detail, so baseline 3 applies.

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 and operation: 'Multi-factor trend confirmation for a coin', and immediately enumerates the exact conditions (ADX ≥30, volume ratio ≥1.5, BB expanded, whale confirms, F&G neutral). That is far more concrete than a name restatement, though it never explicitly contrasts itself with nearby composite tools such as apex_composite or bb_analysis.

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?

No when-to-use or when-not-to-use statement and no alternative named. The factor thresholds imply the use case (a boolean go/no-go trend check across several indicators), but the agent must infer the routing decision itself.

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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