OneQAZ Trading Intelligence

get_losing_positions

Read-onlyIdempotent

Purpose: Losing paper positions (ROI < 0). Convenience wrapper around get_positions(max_roi=-0.01). Triggers (casual questions too): "what's underwater?", "지금 뭐가 물려 있어?", "show me the red ones", "any positions in trouble?", "얼마나 손실 중이야?". When to call: drawdown / risk review. Prerequisites: none. Next steps: get_position_detail, get_role_analysis. Caveats: paper-trading data only.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`limit`	No	Max results (default 20)
`market_id`	Yes	Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us 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.

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_losing_positions — 실응답에서 추출(2026-09-23).",
+        "properties": {
+          "common": {
+            "additionalProperties": true,
+            "type": "object"
+          },
+          "common_note": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          },
+          "filters": {
+            "additionalProperties": true,
+            "type": "object"
+          },
+          "limit": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          },
+          "market_id": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          },
+          "positions": {
+            "items": {},
+            "type": "array"
+          },
+          "returned": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          },
+          "stats": {
+            "additionalProperties": true,
+            "type": "object"
+          },
+          "stats_scope": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          },
+          "total_available": {
+            "anyOf": [
+              {
+                "type": "integer"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          },
+          "truncated": {
+            "anyOf": [
+              {
+                "type": "boolean"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          },
+          "truncated_note": {
+            "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"
+]

Changed3 schema fields changedSep 22, 2026
- addedInput schema / properties / limit / description
```
Added value: +"Max results (default 20)"
```
- addedInput schema / properties / market_id / description
```
Added value: +"Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted)"
```
- addedInput schema / properties / market_id / enum
```
Added value: +[
+  "crypto",
+  "kr_stock",
+  "us_stock"
+]
```
First observedApr 19, 2026

TDQS

A4.5/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true, so the safety profile is covered. The description adds useful behavioral context beyond annotations: it is a convenience wrapper around get_positions(max_roi=-0.01), it operates on paper-trading data only, and it is designed for casual/drawdown questions. It does not detail output shape, but an output schema exists, so that burden is reduced.

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 compact and well-structured with labeled sections (Purpose, Triggers, When to call, Prerequisites, Next steps, Caveats). Every line earns its place: purpose, trigger examples, usage context, and caveat. It is front-loaded with the core definition and avoids redundant filler.

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?

For a simple filtered-list wrapper with 2 parameters, full schema coverage, an output schema, and safety annotations, the description is complete. It covers what the tool does, when to use it, how it relates to get_positions, and the paper-trading caveat. Nothing an agent needs to select and invoke it correctly is missing.

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 the schema already documents both parameters (limit and market_id) with descriptions and an enum. The description adds no additional parameter-level meaning beyond the schema, but it does clarify the wrapper's fixed max_roi=-0.01, which indirectly explains why no ROI parameter is exposed. Baseline 3 is appropriate because the schema carries the parameter documentation burden.

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 states a specific purpose ('Losing paper positions (ROI < 0)') and explicitly identifies itself as a convenience wrapper around get_positions(max_roi=-0.01), which clearly distinguishes it from siblings like get_positions, get_profitable_positions, and get_losing_trades. The verb 'get' plus the resource 'losing positions' is unambiguous.

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?

The description provides explicit trigger phrases ('what's underwater?', '지금 뭐가 물려 있어?', 'show me the red ones'), a clear when-to-call condition ('drawdown / risk review'), and next-step suggestions (get_position_detail, get_role_analysis). It also notes prerequisites are none. This is strong guidance for an agent deciding when to invoke this tool versus alternatives.

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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