validate_pipeline

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

Discloses that the tool returns a validation result with original YAML or error message, and that output is automatically stored with an object ID for reference. Without annotations, this is helpful but lacks details on authentication requirements, rate limits, or whether the validation has side effects (likely none).

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?

The description is structured with a clear purpose and examples. It is somewhat verbose, including docstring formatting and multiple examples, but remains focused. Slightly less concise than ideal but effective.

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?

For a simple validation tool with one parameter, the description covers purpose, parameter usage, output format, and reference mechanism. It is fairly complete, though it could mention potential error types or behavior on invalid input.

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?

The description explains the 'yaml_configuration' parameter as the YAML configuration to validate and provides examples of passing data directly or via object references. This adds significant meaning beyond the schema, which only specifies type 'string'.

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 tool validates a pipeline YAML configuration against the deepset API. The verb 'validates' and resource 'pipeline YAML configuration' are specific and distinguish it from sibling tools like 'validate_index'.

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?

Provides examples showing how to call the tool, including direct values and object references. However, it does not explicitly state when to use this tool versus other pipeline tools (e.g., create, deploy) or what prerequisites are needed. Usage is implied but not clearly scoped.

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