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

The description uses safe, read-only language ('Get' and 'Fetch') and is fully consistent with the annotations (readOnlyHint, idempotentHint). It does not discuss side effects, but the annotations already cover safety, and the wording reinforces a non-mutating operation.

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, information-dense sentence with no filler or redundant wording. It front-loads the primary purpose and packs the essential schema constraints into parentheticals without losing clarity.

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 getter, the description is complete: it explains what is returned, why it matters, and when to call it. The expected output is self-evident from the tool name and description, so no additional context is needed.

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 no parameters, so there are no parameter semantics to document. The description adds useful context about the returned schema's content, exceeding what the empty input schema alone conveys.

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 identifies the action ('Get') and resource ('JSON Schema a schedule definition must satisfy'), and even summarizes the schema's key constraints. The intended output and purpose are unambiguous, and the tool is well differentiated by resource type.

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?

It explicitly states when to use the tool ('Fetch this before authoring the definition for create_schedule / create_schedule_version'). It does not explicitly name alternative definition-schema tools, but the resource-specific naming makes the intended context clear.

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