unskip_maintenance_task
Undo a skip, putting the task back on the job as outstanding.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Undo a skip, putting the task back on the job as outstanding.
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already flag this as a mutating operation (readOnlyHint=false) and not destructive (destructiveHint=false). The description adds that the task is returned to 'outstanding' status, which is useful behavioral context. However, it does not disclose preconditions (e.g., the task must currently be skipped) or any side effects, so it adds only partial transparency beyond annotations.
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?
A single 14-word sentence that front-loads the action and outcome. There is no filler, and every word contributes meaning.
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?
The tool is simple (one parameter, no output schema), and the description captures the core state change. However, it omits an important precondition—that the task must have been skipped beforehand—and says nothing about error behavior if invoked on a task that is not skipped. For a non-idempotent mutation, this is a moderate gap.
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 description coverage is 0%, so the description must compensate for the undocumented task_id parameter. It refers to 'the task' but never explicitly states that task_id is the identifier of the skipped task or how to find it. This leaves the only parameter's semantics largely inferred from the tool name, not explained.
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 states a specific action ('Undo a skip') on a specific resource ('maintenance task') and the resulting state ('back on the job as outstanding'). It clearly differentiates from sibling tools like skip_maintenance_task (the forward operation) and uncomplete_maintenance_task (which undoes completion, not skipping).
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 context is clear: it is used to revert a skipped maintenance task. It does not explicitly name alternatives or state when-not-to-use, but the instruction is unambiguous and sufficient for an agent to infer the appropriate usage without confusion.
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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