Get AI Workflow

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description usefully adds the mechanism behind the output (GateOnAI's compatibility graph of 4,087,142 tool connections), but says nothing about generation latency, cost, or determinism beyond what annotations provide.

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 tight sentences: the capability first, then the differentiating mechanism. No filler, no restating of the name or title.

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?

With a full output schema, complete parameter documentation, and annotations covering safety, the definition is largely self-sufficient. The only real gap is sibling differentiation, which matters given the crowded workflow-adjacent tool set.

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% and the single query parameter is documented with three concrete examples, so the schema carries the load. The description adds no format, length, or specificity guidance beyond what the schema already states — baseline 3.

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?

States a specific verb+resource ("Generate a step-by-step AI workflow") and scopes it to any profession, role, or business task. However, it never distinguishes itself from close siblings like get_workflow_template, build_workflow_board, or find_ai_pipeline, so an agent can't tell them apart from this text alone.

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?

Usage is only implied by the scope phrase "for any profession, role, or business task" and the query examples. There is no explicit when-to-use, when-not-to-use, or named alternative among the several workflow-related siblings, so the agent must infer routing.

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