validate_workflow_payload

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

With no annotations provided, the description carries the burden of behavioral disclosure. It discloses the key behavior (no scoring call consumption) and mentions normalization, but it does not discuss side effects, error handling, or whether the operation is read-only. This is adequate but lacks depth.

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 a single, compact sentence that starts with the primary action and includes the endpoint for technical precision. There is no redundancy or wasted words, making it highly efficient.

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?

Given the tool's simplicity (2 parameters, output schema present), the description covers the core purpose and the critical no-cost aspect. However, it lacks details on parameter semantics and error behavior, and with no annotations, an agent might not fully understand how to construct the payload. It is minimally viable but has clear gaps.

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 description coverage is 0%, so the description must compensate. It only vaguely references 'workflow payload' and does not explain the 'workflow' parameter (string identifier) or the expected structure of 'payload' (an object with additionalProperties). The description adds minimal parameter-level meaning beyond the schema's names and types.

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?

The description clearly states the tool's function with a specific verb ('Validate and normalize'), identifies the target resource ('workflow payload'), and explicitly differentiates it from scoring calls. The mention of the HTTP endpoint adds specificity, and this distinguishes it from sibling tools like score_workflow.

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?

The description provides clear usage context by emphasizing that validation does not consume a scoring call, implying this tool is for pre-flight checks. However, it does not explicitly name alternatives or state when not to use it, which prevents a perfect score.

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