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

Annotations already declare the operation read-only and non-destructive, and the description adds useful context about the schema's constraints: workflow reference, recurrence as either cron+timezone or interval, and optional static input. This goes beyond the annotations without contradicting them.

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 two sentences with no filler. The core purpose is front-loaded, followed by a compact parenthetical summarizing the schema's key requirements and a clear directive on when to use the tool.

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 parameterless metadata tool, the description explains what the tool returns, why it matters, and when to call it. The output schema and annotations cover the remaining context, so nothing essential is missing for an agent to invoke it correctly.

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 has zero parameters, so the baseline is 4. The description adds no parameter-specific detail because there are none, but it does explain what the returned schema covers, which is the relevant semantic content for this tool.

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 returns the JSON Schema that a schedule definition must satisfy, naming the resource ('schedule definition') and linking it to the specific creation tools. This distinguishes it from sibling definition-schema tools like get_workflow_definition_schema or get_api_template_definition_schema.

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 explicitly instructs the agent to fetch this schema before authoring a definition for create_schedule or create_schedule_version, providing a clear when-to-use directive. It does not explicitly mention alternatives or when not to use it, so it stops short of the strongest level of guidance.

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