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validate_schedule

Validate group or private schedules by checking for duplicate slots, operating hour conflicts, holiday overlaps, invalid time ranges, and Excel mapping warnings.

Instructions

Validate duplicate slots, operating hours, holiday conflicts, time ranges, and Excel mapping warnings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scheduleTypeYes
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral transparency. It discloses the validation domains being checked but omits details about return format, side effects, or whether the operation is read-only, which is a notable gap for a validation tool with no output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-organized sentence that front-loads the action and iterates through all validation areas with efficient parallel structure. Every word adds value, and there is no redundancy or unnecessary qualifiers.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's single parameter and lack of output schema, the description provides no mechanism for how the tool obtains data to validate, making the agent guess whether it operates on state, files, or templates. The domain context (schedule management with imports) is only referenced in 'Excel mapping warnings,' leaving key questions about prerequisites and return values unanswered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the description does not mention the 'scheduleType' parameter at all. While the parameter itself has a self-explanatory enum (group/private) and is required, the description fails to clarify how the parameter changes validation behavior or what values mean in context, leaving a critical gap for the only parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Validate') and enumerates the exact resources/checks (duplicate slots, operating hours, holiday conflicts, time ranges, Excel mapping warnings), making the tool's purpose unmistakable. It clearly distinguishes itself from sibling tools which focus on CRUD or other actions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool (validation after schedule setup or import) through its enumeration of validation types. While it doesn't explicitly name alternatives or exclusions, the specific validation categories provide sufficient context for a focused validation workflow.

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

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