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marty5499
by marty5499

azure_ai_chat

Generate Azure AI code examples from a prompt, with optional streaming support, using GPT-4o-mini model.

Instructions

產生使用 Azure AI (GPT-4o-mini) 的程式碼範例

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes描述需要什麼樣的 Azure AI 使用範例
streamingNo是否需要串流模式的程式碼範例 (預設: false)
Behavior2/5

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

No annotations are provided. The description only indicates code generation but does not disclose behavioral traits such as side effects, authorization needs, output format, or whether it calls an external API.

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 is front-loaded and contains no unnecessary words.

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

Completeness2/5

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

The description is very brief for a generative code tool. It lacks information about the output format, language, or how the result is returned, especially since no output schema is provided.

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%, and the description adds no additional meaning beyond the schema. Baseline score of 3 applies.

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 that the tool generates code examples using Azure AI (GPT-4o-mini), with a specific verb and resource. It distinguishes itself from sibling tools which are about Google Sheets and MQTT.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs. alternatives or any context for usage. It simply states the function without explaining prerequisites or scenarios.

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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