fabric_get_item_definition

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

Adds context beyond readOnlyHint by labeling the operation as long-running and specifying return of 'raw definition and decoded file contents'. Does not fully disclose error behavior or auth requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with key information (verb, resource, qualifier). No unnecessary words.

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

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

Describes return content adequately for a fetch tool without output schema. Lacks detailed structure or edge cases, but sufficient for common use.

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

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

Schema coverage is 100%, so description adds little beyond schema. No extra detail on format options or workspace default behavior.

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

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

Clearly states the action 'Fetch', the resource 'item's full definition', and notes it is long-running. Distinguishes from siblings like fabric_get_item.

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

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

Describes the tool as long-running but does not specify when to use it versus alternatives like fabric_get_item or specific get_definition tools for notebooks/pipelines.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.