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OneQAZ Trading Intelligence

get_feature_governance_status_tool

Read-onlyIdempotent

Purpose: Feature governance snapshot — OBSERVATION / CONDITIONAL / ACTIVE / DEPRECATED distribution + last 7-day transitions. Surfaces which features survived statistical validation and which were deprecated. Triggers (casual questions too): "which features are actually used?", "어떤 피처가 살아있어?", "any features promoted recently?", "피처 검증 현황 어때?", "did anything get deprecated?". When to call: trust evaluation, "which features are live right now?". Prerequisites: none. Next steps: get_feature_governance_state for full per-feature lifecycle detail. Caveats: promoter cycle runs hourly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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. Changed2 schema fields changed
    • 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_feature_governance_status_tool — 실응답에서 추출(2026-09-23).",
      +        "properties": {
      +          "by_status": {
      +            "additionalProperties": true,
      +            "type": "object"
      +          },
      +          "recent_transitions": {
      +            "items": {},
      +            "type": "array"
      +          },
      +          "total": {
      +            "anyOf": [
      +              {
      +                "type": "integer"
      +              },
      +              {
      +                "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"
      +]
  2. Added

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/idempotentHint, and the description adds the behavioral caveat that the promoter cycle runs hourly, which explains potential data freshness. It also clarifies the 7-day window for transitions. No contradiction with annotations.

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?

The purpose is front-loaded and the labeled sections (Triggers, When, Prerequisites, Next steps, Caveats) make scanning easy. Some redundancy exists between 'Triggers' and 'When to call', but each sentence still earns its place by providing either routing or behavioral context.

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 zero-parameter, read-only snapshot with an output schema present, the description covers trigger conditions, alternative routing, expected output type, and freshness caveat. Nothing an agent needs to decide when to call this tool is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the schema already exhaustively documents the input surface. The description appropriately avoids inventing parameter detail and focuses on behavior, which is all an agent needs.

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?

Purpose is specific and measurable: a governance snapshot showing status distribution and last 7-day transitions. It clearly identifies the resource (feature governance) and the concrete output (which features survived validation vs deprecated), and the next-step pointer distinguishes it from get_feature_governance_state.

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?

Provides explicit triggers with natural-language examples, a 'When to call' section, prerequisites (none), and a next-step alternative. It tells the agent when to use this vs get_feature_governance_state for full per-feature lifecycle detail.

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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