@cryptyx/mcp-server

get_signal_explanation

Retrieve a structured breakdown of signal triggers for any asset on a given day, including factor scores and composite context.

Instructions

Get a structured explanation of why a specific signal fired (or did not fire) for a given asset on a given day. Returns factor scores and composite context.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "signal_id": "<signal_id>",
      "day": "<day>",
      "asset": "<asset>"
    },
    "name": "get_signal_explanation"
  }
}

Input Schema

Name	Required	Description
`day`	Yes	Date in YYYY-MM-DD format
`asset`	Yes	Asset symbol (e.g. BTC)
`signal_id`	Yes	Signal ID (e.g. VOL_SPIKE, CORR_BREAKDOWN)

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Apr 14, 2026

TDQS

A3.8/5.0

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns factor scores and context, but it does not mention whether it is read-only, authentication requirements, or any side effects. The behavior is implicitly a read operation, but not explicitly.

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?

The description is a single, concise sentence that immediately conveys the tool's purpose and key aspects. Every word adds value without any redundancy. It is appropriately front-loaded with the action and resource.

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?

Given no output schema, the description hints at the return value ('factor scores and composite context'), which is helpful but could be more complete about the structure of the explanation. For a tool with three required parameters and common signal analysis context, it provides sufficient context to use it, but lacks details on the response format.

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 description coverage is 100%, so baseline is 3. The description does not add new semantic details about the individual parameters beyond what the schema already provides (date format, asset symbol, signal ID). It restates the purpose but does not clarify data types, formats, or allowed values.

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?

The description clearly states the verb 'Get' and the resource 'structured explanation of why a specific signal fired', and it uniquely distinguishes itself from siblings by specifying the three key parameters (signal_id, day, asset) and the return of 'factor scores and composite context'.

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?

The description indicates the tool is for retrieving explanations of signal firing, but it does not explicitly state when to use it over alternatives like 'get_factor_scores' or 'get_signal_triggers'. No when-not-to-use guidance is provided, so it meets a minimal standard but lacks differentiation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.