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get_factory

Retrieve configuration details for a specific Azure Data Factory instance by providing its resource group and factory name.

Instructions

Get details for a single Data Factory instance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
factory_nameYes
resource_groupYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The description only says 'Get details', which implies a read operation, but it doesn't explicitly state that it has no side effects, what permissions (if any) are required, or what the response contains beyond the output schema. Minimal disclosure beyond the obvious.

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 description is a single sentence with no wasted words, which makes it concise and front-loaded. However, it is arguably under-specified rather than efficiently concise, as it misses crucial guidance. Still, for what it conveys, it is well-structured.

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?

Given the tool has 12 siblings, no annotations, and zero parameter descriptions, the description is insufficient. It doesn't help an agent decide when to use it versus alternatives, doesn't explain parameters, and doesn't provide any behavioral context. While an output schema exists, that alone does not make the tool adequately described for effective selection and invocation.

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

Parameters1/5

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

The schema has zero description coverage for its two parameters (resource_group and factory_name), and the description provides no additional meaning about them. The description doesn't explain what these parameters are used for, how they should be formatted, or any constraints beyond their names. The description fails to compensate for the lack of schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Get' and names the resource 'Data Factory instance', which clearly distinguishes it from sibling tools like list_factories (which lists many) and get_pipeline (which targets a different resource). It is unambiguous about what the tool does, though it doesn't specify what 'details' entails, which is partly covered by the output schema.

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?

There is no guidance on when to use this tool versus its siblings. The description doesn't mention when to prefer get_factory over list_factories or get_pipeline, nor does it provide any conditions or alternatives. An agent would have to infer usage based on the tool name alone.

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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