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OneQAZ Trading Intelligence

by io.github.wnsod
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Backtest Tuning State

get_backtest_tuning_state
Read-onlyIdempotent

Purpose: Continuous self-calibration evidence. Each entry shows the auto-tuned lag_hours and sensitivity per cell, derived from real backtest outcomes. Proves the system adapts to measured reality rather than static heuristics. Triggers (casual questions too): "does the system self-correct?", "시스템이 스스로 보정해?", "how is it calibrated?", "튜닝 상태 보여줘", "is it adapting to what actually happened?". When to call: after get_prediction_accuracy, to show the system updates itself. Prerequisites: get_prediction_accuracy recommended for context. Next steps: get_monthly_accuracy_trend. Caveats: last_backtest timestamp indicates tuning freshness.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoOptional category filter
target_marketNoOptional target market filter. Aliases coin/kr/us and any letter case are accepted.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
full_dataNo
timestampYesRFC3339 UTC, server build time
disclaimerYesCanonical compliance disclaimer (always present)
request_idYes32-hex per-response correlation id
is_real_moneyNo
data_classificationNo
is_investment_adviceNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  2. Changed17 schema fields changed
    • removedOutput schema / properties / _followup_questions_for_user
      Removed value: -{
-  "anyOf": [
-    {
-      "items": {
-        "type": "string"
-      },
-      "type": "array"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null
-}
    • removedOutput schema / properties / _llm_summary
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "string"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null
-}
    • removedOutput schema / properties / _market_state_narrative
      Removed value: -{
-  "anyOf": [
-    {
-      "additionalProperties": true,
-      "description": "Wrapper for `_market_state_narrative` — bilingual + provenance.",
-      "properties": {
-        "_source": {
-          "anyOf": [
-            {
-              "type": "string"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "default": null
-        },
-        "en": {
-          "anyOf": [
-            {
-              "additionalProperties": true,
-              "description": "Bilingual narrative — one of {ko, en} must carry a headline.",
-              "properties": {
-                "evidence": {
-                  "items": {
-                    "type": "string"
-                  },
-                  "type": "array"
-                },
-                "headline": {
-                  "type": "string"
-                },
-                "what_to_watch": {
-                  "anyOf": [
-                    {
-                      "type": "string"
-                    },
-                    {
-                      "type": "null"
-                    }
-                  ],
-                  "default": null
-                }
-              },
-              "required": [
-                "headline"
-              ],
-              "type": "object"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "default": null
-        },
-        "ko": {
-          "anyOf": [
-            {
-              "additionalProperties": true,
-              "description": "Bilingual narrative — one of {ko, en} must carry a headline.",
-              "properties": {
-                "evidence": {
-                  "items": {
-                    "type": "string"
-                  },
-                  "type": "array"
-                },
-                "headline": {
-                  "type": "string"
-                },
-                "what_to_watch": {
-                  "anyOf": [
-                    {
-                      "type": "string"
-                    },
-                    {
-                      "type": "null"
-                    }
-                  ],
-                  "default": null
-                }
-              },
-              "required": [
-                "headline"
-              ],
-              "type": "object"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "default": null
-        }
-      },
-      "type": "object"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null
-}
    • removedOutput schema / properties / _next_actions
      Removed value: -{
-  "anyOf": [
-    {
-      "items": {
-        "additionalProperties": true,
-        "description": "One AI-actionable follow-up call recommendation.",
-        "properties": {
-          "args": {
-            "additionalProperties": true,
-            "type": "object"
-          },
-          "intent": {
-            "description": "Short intent label, max ~120 chars",
-            "type": "string"
-          },
-          "priority": {
-            "default": "normal",
-            "enum": [
-              "high",
-              "normal",
-              "low"
-            ],
-            "type": "string"
-          },
-          "rationale": {
-            "default": "",
-            "description": "Why this is recommended",
-            "type": "string"
-          },
-          "tool": {
-            "description": "Recommended tool name to invoke next",
-            "type": "string"
-          }
-        },
-        "required": [
-          "intent",
-          "tool"
-        ],
-        "type": "object"
-      },
-      "type": "array"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null
-}
    • removedOutput schema / properties / _value_signals
      Removed value: -{
-  "anyOf": [
-    {
-      "additionalProperties": true,
-      "description": "Static product/value metadata — same for every response of a tool type.",
-      "properties": {
-        "data_freshness_seconds": {
-          "default": 120,
-          "type": "integer"
-        },
-        "key_signup_url": {
-          "default": "https://api.oneqaz.com/keys",
-          "type": "string"
-        },
-        "pricing_url": {
-          "default": "https://api.oneqaz.com/pricing",
-          "type": "string"
-        },
-        "schema_version": {
-          "default": "1.1",
-          "type": "string"
-        },
-        "self_correcting": {
-          "default": true,
-          "type": "boolean"
-        },
-        "tier_default": {
-          "default": "free",
-          "enum": [
-            "free",
-            "pro",
-            "internal"
-          ],
-          "type": "string"
-        },
-        "tier_default_limits": {
-          "additionalProperties": {
-            "type": "integer"
-          },
-          "type": "object"
-        },
-        "what_pro_unlocks": {
-          "default": "33x daily quota (50K), 3.3x burst (200/min) — same tools, higher volume",
-          "type": "string"
-        }
-      },
-      "type": "object"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null
-}
    • removedOutput schema / properties / action
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "string"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null,
-  "description": "Recommended client action (error path)"
-}
    • removedOutput schema / properties / action_value
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "string"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null
-}
    • removedOutput schema / properties / ai_summary
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "string"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null,
-  "description": "One-line AI-oriented summary (success path)"
-}
    • removedOutput schema / properties / ai_summary_generated_at
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "string"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null,
-  "description": "RFC3339 UTC"
-}
    • removedOutput schema / properties / ai_summary_ttl_seconds
      Removed value: -{
-  "anyOf": [
-    {
-      "minimum": 0,
-      "type": "integer"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null
-}
    • removedOutput schema / properties / error
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "boolean"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null,
-  "description": "Set true on error responses"
-}
    • removedOutput schema / properties / error_code
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "string"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null,
-  "description": "Stable error identifier; see mcp_error_policy.md"
-}
    • removedOutput schema / properties / fallback_note
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "string"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null
-}
    • removedOutput schema / properties / fallback_tool
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "string"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null,
-  "description": "Suggested fallback (error path)"
-}
    • removedOutput schema / properties / reason
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "string"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null,
-  "description": "Human-readable cause (error path)"
-}
    • removedOutput schema / properties / retryable
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "boolean"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null,
-  "description": "Whether the client should retry (error path)"
-}
    • removedOutput schema / properties / summary_for_user
      Removed value: -{
-  "anyOf": [
-    {
-      "type": "string"
-    },
-    {
-      "type": "null"
-    }
-  ],
-  "default": null,
-  "description": "One-line jargon-free Korean summary (success path)"
-}
  3. Changed7 schema fields changed
    • addedInput schema / properties / category / anyOf
      Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]
    • addedInput schema / properties / category / description
      Added value: +"Optional category filter"
    • removedInput schema / properties / category / type
      Removed value: -"string"
    • addedInput schema / properties / target_market / anyOf
      Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]
    • addedInput schema / properties / target_market / description
      Added value: +"Optional target market filter. Aliases coin/kr/us and any letter case are accepted."
    • addedInput schema / properties / target_market / enum
      Added value: +[
+  "crypto",
+  "kr_stock",
+  "us_stock"
+]
    • removedInput schema / properties / target_market / type
      Removed value: -"string"
  4. Changed1 schema field changed
    • changedOutput schema / properties / _value_signals / anyOf
      Previous value: -[
-  {
-    "additionalProperties": true,
-    "description": "Static product/value metadata — same for every response of a tool type.",
-    "properties": {
-      "data_freshness_seconds": {
-        "default": 120,
-        "type": "integer"
-      },
-      "key_signup_url": {
-        "default": "https://api.oneqaz.com/keys",
-        "type": "string"
-      },
-      "pricing_url": {
-        "default": "https://api.oneqaz.com/pricing",
-        "type": "string"
-      },
-      "schema_version": {
-        "default": "1.0",
-        "type": "string"
-      },
-      "self_correcting": {
-        "default": true,
-        "type": "boolean"
-      },
-      "tier_default": {
-        "default": "free",
-        "enum": [
-          "free",
-          "pro",
-          "internal"
-        ],
-        "type": "string"
-      },
-      "tier_default_limits": {
-        "additionalProperties": {
-          "type": "integer"
-        },
-        "type": "object"
-      },
-      "what_pro_unlocks": {
-        "default": "33x daily quota (50K), 3.3x burst (200/min) — same tools, higher volume",
-        "type": "string"
-      }
-    },
-    "type": "object"
-  },
-  {
-    "type": "null"
-  }
-]New value: +[
+  {
+    "additionalProperties": true,
+    "description": "Static product/value metadata — same for every response of a tool type.",
+    "properties": {
+      "data_freshness_seconds": {
+        "default": 120,
+        "type": "integer"
+      },
+      "key_signup_url": {
+        "default": "https://api.oneqaz.com/keys",
+        "type": "string"
+      },
+      "pricing_url": {
+        "default": "https://api.oneqaz.com/pricing",
+        "type": "string"
+      },
+      "schema_version": {
+        "default": "1.1",
+        "type": "string"
+      },
+      "self_correcting": {
+        "default": true,
+        "type": "boolean"
+      },
+      "tier_default": {
+        "default": "free",
+        "enum": [
+          "free",
+          "pro",
+          "internal"
+        ],
+        "type": "string"
+      },
+      "tier_default_limits": {
+        "additionalProperties": {
+          "type": "integer"
+        },
+        "type": "object"
+      },
+      "what_pro_unlocks": {
+        "default": "33x daily quota (50K), 3.3x burst (200/min) — same tools, higher volume",
+        "type": "string"
+      }
+    },
+    "type": "object"
+  },
+  {
+    "type": "null"
+  }
+]
  5. Changed2 schema fields changed
    • addedOutput schema / properties
      Added value: +{
+  "_followup_questions_for_user": {
+    "anyOf": [
+      {
+        "items": {
+          "type": "string"
+        },
+        "type": "array"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "_llm_summary": {
+    "anyOf": [
+      {
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "_market_state_narrative": {
+    "anyOf": [
+      {
+        "additionalProperties": true,
+        "description": "Wrapper for `_market_state_narrative` — bilingual + provenance.",
+        "properties": {
+          "_source": {
+            "anyOf": [
+              {
+                "type": "string"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          },
+          "en": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "description": "Bilingual narrative — one of {ko, en} must carry a headline.",
+                "properties": {
+                  "evidence": {
+                    "items": {
+                      "type": "string"
+                    },
+                    "type": "array"
+                  },
+                  "headline": {
+                    "type": "string"
+                  },
+                  "what_to_watch": {
+                    "anyOf": [
+                      {
+                        "type": "string"
+                      },
+                      {
+                        "type": "null"
+                      }
+                    ],
+                    "default": null
+                  }
+                },
+                "required": [
+                  "headline"
+                ],
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          },
+          "ko": {
+            "anyOf": [
+              {
+                "additionalProperties": true,
+                "description": "Bilingual narrative — one of {ko, en} must carry a headline.",
+                "properties": {
+                  "evidence": {
+                    "items": {
+                      "type": "string"
+                    },
+                    "type": "array"
+                  },
+                  "headline": {
+                    "type": "string"
+                  },
+                  "what_to_watch": {
+                    "anyOf": [
+                      {
+                        "type": "string"
+                      },
+                      {
+                        "type": "null"
+                      }
+                    ],
+                    "default": null
+                  }
+                },
+                "required": [
+                  "headline"
+                ],
+                "type": "object"
+              },
+              {
+                "type": "null"
+              }
+            ],
+            "default": null
+          }
+        },
+        "type": "object"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "_next_actions": {
+    "anyOf": [
+      {
+        "items": {
+          "additionalProperties": true,
+          "description": "One AI-actionable follow-up call recommendation.",
+          "properties": {
+            "args": {
+              "additionalProperties": true,
+              "type": "object"
+            },
+            "intent": {
+              "description": "Short intent label, max ~120 chars",
+              "type": "string"
+            },
+            "priority": {
+              "default": "normal",
+              "enum": [
+                "high",
+                "normal",
+                "low"
+              ],
+              "type": "string"
+            },
+            "rationale": {
+              "default": "",
+              "description": "Why this is recommended",
+              "type": "string"
+            },
+            "tool": {
+              "description": "Recommended tool name to invoke next",
+              "type": "string"
+            }
+          },
+          "required": [
+            "intent",
+            "tool"
+          ],
+          "type": "object"
+        },
+        "type": "array"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "_value_signals": {
+    "anyOf": [
+      {
+        "additionalProperties": true,
+        "description": "Static product/value metadata — same for every response of a tool type.",
+        "properties": {
+          "data_freshness_seconds": {
+            "default": 120,
+            "type": "integer"
+          },
+          "key_signup_url": {
+            "default": "https://api.oneqaz.com/keys",
+            "type": "string"
+          },
+          "pricing_url": {
+            "default": "https://api.oneqaz.com/pricing",
+            "type": "string"
+          },
+          "schema_version": {
+            "default": "1.0",
+            "type": "string"
+          },
+          "self_correcting": {
+            "default": true,
+            "type": "boolean"
+          },
+          "tier_default": {
+            "default": "free",
+            "enum": [
+              "free",
+              "pro",
+              "internal"
+            ],
+            "type": "string"
+          },
+          "tier_default_limits": {
+            "additionalProperties": {
+              "type": "integer"
+            },
+            "type": "object"
+          },
+          "what_pro_unlocks": {
+            "default": "33x daily quota (50K), 3.3x burst (200/min) — same tools, higher volume",
+            "type": "string"
+          }
+        },
+        "type": "object"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "action": {
+    "anyOf": [
+      {
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null,
+    "description": "Recommended client action (error path)"
+  },
+  "action_value": {
+    "anyOf": [
+      {
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "ai_summary": {
+    "anyOf": [
+      {
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null,
+    "description": "One-line AI-oriented summary (success path)"
+  },
+  "ai_summary_generated_at": {
+    "anyOf": [
+      {
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null,
+    "description": "RFC3339 UTC"
+  },
+  "ai_summary_ttl_seconds": {
+    "anyOf": [
+      {
+        "minimum": 0,
+        "type": "integer"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "data_classification": {
+    "anyOf": [
+      {
+        "const": "research_information_only",
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "disclaimer": {
+    "description": "Canonical compliance disclaimer (always present)",
+    "type": "string"
+  },
+  "error": {
+    "anyOf": [
+      {
+        "type": "boolean"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null,
+    "description": "Set true on error responses"
+  },
+  "error_code": {
+    "anyOf": [
+      {
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null,
+    "description": "Stable error identifier; see mcp_error_policy.md"
+  },
+  "fallback_note": {
+    "anyOf": [
+      {
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null
+  },
+  "fallback_tool": {
+    "anyOf": [
+      {
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null,
+    "description": "Suggested fallback (error path)"
+  },
+  "full_data": {
+    "anyOf": [
+      {
+        "additionalProperties": true,
+        "description": "`full_data` for get_backtest_tuning_state.",
+        "properties": {
+          "meta": {
+            "additionalProperties": true,
+            "type": "object"
+          },
+          "tuning_entries": {
+            "items": {
+              "additionalProperties": true,
+              "properties": {
+                "category": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null
+                },
+                "confidence": {
+                  "anyOf": [
+                    {
+                      "type": "number"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null
+                },
+                "last_backtest": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null
+                },
+                "sample_count": {
+                  "anyOf": [
+                    {
+                      "type": "integer"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null
+                },
+                "target_market": {
+                  "anyOf": [
+                    {
+                      "type": "string"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null
+                },
+                "tuned_lag_hours": {
+                  "anyOf": [
+                    {
+                      "type": "number"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null
+                },
+                "tuned_sensitivity": {
+                  "anyOf": [
+                    {
+                      "type": "number"
+                    },
+                    {
+                      "type": "null"
+                    }
+                  ],
+                  "default": null
+                }
+              },
+              "type": "object"
+            },
+            "type": "array"
+          }
+        },
+        "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
+  },
+  "reason": {
+    "anyOf": [
+      {
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null,
+    "description": "Human-readable cause (error path)"
+  },
+  "request_id": {
+    "description": "32-hex per-response correlation id",
+    "type": "string"
+  },
+  "retryable": {
+    "anyOf": [
+      {
+        "type": "boolean"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null,
+    "description": "Whether the client should retry (error path)"
+  },
+  "summary_for_user": {
+    "anyOf": [
+      {
+        "type": "string"
+      },
+      {
+        "type": "null"
+      }
+    ],
+    "default": null,
+    "description": "One-line jargon-free Korean summary (success path)"
+  },
+  "timestamp": {
+    "description": "RFC3339 UTC, server build time",
+    "type": "string"
+  }
+}
    • addedOutput schema / required
      Added value: +[
+  "disclaimer",
+  "request_id",
+  "timestamp"
+]
  6. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds genuine context beyond that: the data is auto-tuned from real backtest outcomes, and the `last_backtest` timestamp signals tuning freshness, which tells the agent how to interpret staleness. This is meaningful behavioral disclosure.

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?

It is front-loaded with a clear Purpose and uses labeled sections (Triggers, When to call, Prerequisites, Next steps, Caveats) that make scanning easy. The bilingual trigger list is slightly verbose but serves a real matching function; overall it earns its space.

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, return values need no explanation, and annotations cover the safety profile. The description supplies purpose, usage sequencing, prerequisites, and a freshness caveat, leaving nothing an agent needs 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 both optional filters (category, target_market) are fully documented in the schema, including the alias handling. The description adds no parameter-level detail beyond the schema, so the baseline 3 is 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?

The description states a specific verb and resource: it returns self-calibration evidence showing auto-tuned lag_hours and sensitivity per cell derived from real backtest outcomes. This distinguishes it from siblings like get_signal_calibration or get_structure_calibration, which are named separately in the ecosystem. An agent knows exactly what data this yields.

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?

It gives explicit when-to-call ('after get_prediction_accuracy'), a prerequisite, and next steps ('get_monthly_accuracy_trend'). It even lists casual-question triggers in English and Korean, removing any ambiguity about when this tool applies 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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