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sandraschi

Windows Operations MCP

by sandraschi

winops_auto_task_create

Create a Windows scheduled task by specifying task name, executable path, schedule, and start time.

Instructions

Create a Windows Scheduled Task.

Return Format

{"success": bool, "task_name": str}

Examples

task_create(task_name="DailyBackup", task_path="C:\\scripts\\backup.bat", schedule="DAILY")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scheduleNoTask recurrence schedule.DAILY
task_nameYesUnique task name.
task_pathYesFull path to the executable.
start_timeNoStart time in HH:mm format.12:00

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

The description provides a return format JSON indicating success and task_name, which adds some transparency. However, it does not discuss behavior like idempotency, whether the task is overwritten if it exists, or potential side effects. The annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=false, which gives a baseline; the description adds only the return format, not much else.

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

Conciseness4/5

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

The description is concise, with a clear one-sentence purpose, a structured return format, and a short example. It is front-loaded with the main action. However, the inclusion of an example with JSON formatting is useful but adds length; overall it is still well-structured and avoids redundancy.

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

Completeness3/5

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

Given that an output schema and annotations are present, the description adds the return format and an example, which is helpful. However, it does not mention important operational details like whether the schedule can be combined with other parameters, how recurring tasks are handled, or any error conditions. For a moderate-complexity tool, it could be more complete.

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

Parameters3/5

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

Since the schema description coverage is 100%, the input schema already provides detailed descriptions for all parameters, including defaults and enums. The tool description itself adds an example that shows usage, which is helpful but not essential. Thus, a baseline of 3 is appropriate; no extra meaning is provided beyond the schema.

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 clearly states the tool creates a Windows Scheduled Task, which is a specific, actionable verb-resource pair. It distinguishes itself from sibling tools like winops_auto_task_delete, winops_auto_task_run, and winops_auto_task_list, which handle other aspects of scheduled tasks. The example further clarifies the intended usage.

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 includes an example that shows how to call the tool with task_name, task_path, and schedule. However, it doesn't explicitly state when to use this over alternatives or mention prerequisites (e.g., administrative privileges) or conditions where the task creation might fail. The example provides clear context, but exclusions are not mentioned.

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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