OneQAZ Trading Intelligence

Signal Detail

get_signal_detail

Read-onlyIdempotent

Purpose: Per-symbol signal deep-dive — latest signal + history + feedback. Triggers (casual questions too): "why is BTC a buy?", "그 시그널 근거가 뭐야?", "signal history for AAPL?", "이 종목 시그널 자세히 보여줘", "how has this signal performed before?". When to call: drilling into a single ticker's signal context. Prerequisites: confirm existence via get_signals first. Next steps: get_role_analysis, get_position_detail. Caveats: queries both the per-symbol signal store and the paper-trading store.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`coin`	No	Legacy alias of symbol (kept for backward compatibility)
`symbol`	No	Asset identifier (preferred; e.g., BTC, AAPL)
`interval`	No	Timeframe (default: combined)	combined
`market_id`	Yes	Market ID (crypto, kr_stock, us_stock). Aliases coin/kr/us and any letter case are accepted.

Output Schema

TableJSON Schema

Name	Required	Description
`full_data`	No
`timestamp`	Yes	RFC3339 UTC, server build time
`disclaimer`	Yes	Canonical compliance disclaimer (always present)
`request_id`	Yes	32-hex per-response correlation id
`is_real_money`	No
`data_classification`	No
`is_investment_advice`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 7, 2026
- addedInput schema / additionalProperties
```
Added value: +false
```

Changed2 schema fields changedSep 23, 2026

addedOutput schema / properties

Added value: +{
+  "data_classification": {
+    "anyOf": [
+      {
+        "const": "research_information_only",
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "disclaimer": {
+    "description": "Canonical compliance disclaimer (always present)",
+    "type": "string"
+  },
+  "full_data": {
+    "anyOf": [
+      {
+        "additionalProperties": true,
+        "description": "`full_data` for get_signal_detail — 실응답에서 추출(2026-09-23).",
+        "properties": {
+          "interval": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          },
+          "latest_signal": {
+            "additionalProperties": true,
+            "type": "object"
+          },
+          "market_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          },
+          "pattern_feedback": {
+            "additionalProperties": true,
+            "type": "object"
+          },
+          "recent_history": {
+            "items": {},
+            "type": "array"
+          },
+          "symbol": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          },
+          "timestamp": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          }
+        },
+        "type": "object"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "is_investment_advice": {
+    "anyOf": [
+      {
+        "const": false,
+        "type": "boolean"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "is_real_money": {
+    "anyOf": [
+      {
+        "const": false,
+        "type": "boolean"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "request_id": {
+    "description": "32-hex per-response correlation id",
+    "type": "string"
+  },
+  "timestamp": {
+    "description": "RFC3339 UTC, server build time",
+    "type": "string"
+  }
+}

addedOutput schema / required

Added value: +[
+  "disclaimer",
+  "request_id",
+  "timestamp"
+]

Changed6 schema fields changedSep 22, 2026

addedInput schema / properties / coin / description

Added value: +"Legacy alias of symbol (kept for backward compatibility)"

addedInput schema / properties / interval / description
```
Added value: +"Timeframe (default: combined)"
```

addedInput schema / properties / interval / enum

Added value: +[
+  "5m",
+  "15m",
+  "30m",
+  "240m",
+  "1d",
+  "combined"
+]

addedInput schema / properties / market_id / description

Added value: +"Market ID (crypto, kr_stock, us_stock). Aliases coin/kr/us and any letter case are accepted."

addedInput schema / properties / market_id / enum

Added value: +[
+  "crypto",
+  "kr_stock",
+  "us_stock"
+]

addedInput schema / properties / symbol / description

Added value: +"Asset identifier (preferred; e.g., BTC, AAPL)"

Changed5 schema fields changedJul 7, 2026

addedInput schema / properties / coin / anyOf

Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]

addedInput schema / properties / coin / default
```
Added value: +null
```
removedInput schema / properties / coin / type
```
Removed value: -"string"
```

addedInput schema / properties / symbol

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null
+}

changedInput schema / required

Previous value: -[
-  "market_id",
-  "coin"
-]New value: +[
+  "market_id"
+]

First observedApr 19, 2026

TDQS

A4.4/5.0

Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so safety profile is covered. The description adds genuinely new context by disclosing that the tool queries both the per-symbol signal store and the paper-trading store, though it says nothing about result size or latency.

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?

Front-loaded with a one-line purpose, then labeled sections (Triggers, When to call, Prerequisites, Next steps, Caveats) that are easy to scan. The multilingual trigger examples are somewhat long but each maps to a real disambiguation case, so little is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the description needn't explain return values; it instead covers intent, prerequisite sequencing, follow-up tools, and the dual data-store caveat. An agent has everything needed to call this correctly.

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% with enums on interval and market_id, so the schema already documents symbol/coin/interval/market_id semantics including aliases. The description adds no parameter-level detail beyond what the schema provides, making the baseline 3 appropriate.

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?

States a specific verb and resource — a per-symbol 'signal deep-dive' returning latest signal, history, and feedback. It clearly distinguishes itself from the sibling get_signals, which is the list/scan tool, so an agent can route correctly without opening schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit 'When to call', prerequisites (confirm existence via get_signals first), and next steps (get_role_analysis, get_position_detail). Casual-question triggers in both English and Korean further pin down intent, leaving nothing to inference.

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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