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FernanMoreno

domoai-mcp

by FernanMoreno

reschedule_plan

Destructive

Reschedule a pending automation plan to a new execution time, triggering revalidation and approval before the change takes effect.

Instructions

Request a temporal revision for a pending plan. The legacy generic mutation is fail-closed; a changed time must be validated and approved again before admission.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
plan_idYes
execute_atYes
schedule_revisionNo
validation_digestNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=false and destructiveHint=true, so the mutating nature is known. The description adds meaningful behavioral context beyond this: the operation is fail-closed, and changes require re-validation and re-approval before admission. This helps an agent understand that the tool may not immediately commit the change and that additional workflow steps are required.

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 short and front-loaded, with the core purpose in the first sentence and an important behavioral caveat in the second. It is not overly verbose, though terms like 'legacy generic mutation,' 'fail-closed,' and 'admission' are somewhat jargon-heavy and could be clearer.

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 four parameters, zero schema description coverage, and a destructiveHint annotation, the description is not complete enough for reliable invocation. It explains the purpose and approval workflow but leaves optional parameters such as schedule_revision and validation_digest undocumented, which may be required in certain approval contexts. The presence of an output schema helps, but the input-side gap remains material.

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 description coverage is 0%, so the description must compensate for the four parameters. The only hint is 'changed time,' which loosely maps to execute_at, but plan_id, schedule_revision, and validation_digest are left completely unexplained. This is a significant gap for an agent trying to construct a valid call.

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

Purpose4/5

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

The description clearly states the tool's core action: 'Request a temporal revision for a pending plan.' It identifies a specific resource ('pending plan') and a distinct operation ('temporal revision'), which helps separate it from scheduling, cancellation, and execution siblings. However, it does not explicitly name a sibling alternative, so it falls just short of the strongest differentiation.

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 this tool: when a pending plan needs a time change. It also provides important workflow context by noting the legacy generic mutation is fail-closed and that a changed time must be validated and approved again, guiding the agent toward validation/approval follow-up steps. Explicit 'do not use when...' exclusions are absent, but the context is reasonably clear.

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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