Skip to main content
Glama
FernanMoreno

domoai-mcp

by FernanMoreno

execute_plan

Destructive

Run a previously validated smart home automation plan once runtime safety checks pass, using validation digests to ensure integrity. Supports dry-run testing before actual execution.

Instructions

Execute a previously validated plan after runtime safety checks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNo
plan_idYes
approval_idNo
bundle_digestNo
validation_digestYes

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

B3.1/5.0
Behavior3/5

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

Annotations already indicate destructiveHint=true and readOnlyHint=false, so the description is not required to restate destructiveness. It adds useful context about pre-validation and runtime safety checks, but does not explain consequences, irreversibility, or approval requirements beyond what the parameter approval_id hints at.

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 a single front-loaded sentence with no wasted words. It conveys the core purpose and an important prerequisite, though brevity leaves some behavioral details to inference.

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?

For a destructive tool with five parameters and no schema description coverage, this is incomplete. It omits the meaning of dry_run, approval_id, and bundle_digest, and does not describe what 'runtime safety checks' entails or what the agent should expect after execution. The output schema exists, so return-value documentation is less critical, but invocation guidance is still thin.

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 needed to compensate for the five parameters. It only vaguely maps to validation_digest via 'previously validated' and gives no meaning for dry_run, approval_id, bundle_digest, or plan_id. This is insufficient for correct invocation.

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 uses a specific verb and object ('Execute ... plan') and adds the qualifier 'previously validated' to distinguish this from plan creation or scheduling. It does not explicitly differentiate from schedule_plan or commit_or_schedule_bundle, but the execute/validate/schedule contrast is clear from the sibling names.

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

Usage Guidelines3/5

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

The phrase 'previously validated plan' implies that validate_plan should happen first, and 'after runtime safety checks' suggests a required sequence. However, it does not explicitly say when to use this instead of schedule_plan, or mention any exclusions or alternatives.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/FernanMoreno/DomoAI'

If you have feedback or need assistance with the MCP directory API, please join our Discord server