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

The annotations already declare readOnlyHint=true and idempotentHint=true, establishing a safe read operation. The description adds the GET endpoint and path, which is useful context, but it does not describe the return format, pagination, or any other behavioral traits. Given the annotation coverage, a score of 3 is appropriate.

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 clearly conveys the tool's function without any superfluous detail. It earns a perfect score for conciseness and front-loading.

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?

The tool is simple with no parameters, and the description explains the core functionality and endpoint. While there is no output schema, the description explicitly states what is listed, making it sufficiently complete for the tool's complexity.

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 tool takes zero parameters, and the schema is an empty object (100% coverage). With no parameters, the baseline is 4, and the description does not need to explain parameter semantics further.

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 lists supported workflows and current model versions, with the HTTP endpoint via GET /v1/workflows. It uses a specific verb and resource, distinguishing it from sibling tools like get_workflow_schema and 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 implies usage for discovering available workflows and model versions, but does not explicitly state when to use it over alternatives or provide any exclusions. Since the tool's purpose is straightforward, the context implies usage but lacks direct guidance.

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