Skip to main content
Glama
espressif

ESP RainMaker MCP Server

Official
by espressif

get_schedules

Retrieve schedules configured for a specific node, including trigger conditions and actions. Returns support status and schedule count.

Instructions

Get schedule information for a specific node. Returns the schedules configured for the node if any exist, along with support status.

Response includes:

  • schedules_supported: Whether the node supports scheduling

  • schedules: Array of schedule objects with trigger and action details

  • schedule_count: Number of configured schedules

Each schedule object contains:

  • id: Unique schedule identifier

  • name: Human-readable schedule name

  • enabled: Whether the schedule is active

  • triggers: Array of trigger conditions (format explained below)

  • action: What the schedule will do when triggered

TRIGGER FORMAT GUIDE (for understanding schedule responses):

  • "m": Minutes since midnight (0-1439). Example: 480 = 8:00 AM, 1110 = 6:30 PM

  • "d": Day bitmap for which days to trigger:

    • 31 = Weekdays (Mon-Fri)

    • 96 = Weekends (Sat-Sun)

    • 127 = Every day

    • 0 = One-time only

    • Individual days: 1=Mon, 2=Tue, 4=Wed, 8=Thu, 16=Fri, 32=Sat, 64=Sun

  • "dd": Day of month (1-31)

  • "mm": Month bitmap (4095 = all months)

  • "rsec": Relative seconds from creation time

  • "ts": Exact Unix timestamp when schedule was created or will trigger

Example: {"m": 1110, "d": 31} means "6:30 PM on weekdays"

NOTE: Schedule actions use device type names (like "Light") not display names. See get_node_details for the mapping between device types and their display names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
node_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Without annotations, the description compensates by detailing the response structure, trigger format, and action naming. However, it does not disclose read-only nature explicitly or mention error handling for missing nodes.

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 well-structured with a clear opening sentence, response details, and a trigger guide. It is slightly verbose but the information is valuable and organized.

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

Completeness5/5

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

Given the existence of an output schema, the description still thoroughly explains the response, including trigger format and an example. It also cross-references get_node_details, making the tool contextually complete for a read operation.

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?

With 0% schema description coverage and a single required parameter 'node_id', the description fails to explain what node_id represents (e.g., format, source, relationship to get_nodes). This is a significant gap.

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 'Get schedule information for a specific node', specifying the verb 'Get' and resource 'schedule information'. It distinguishes from siblings like set_schedule (write) and get_node_details (node info) by focusing on schedules.

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 read usage and cross-references get_node_details for device type mapping, but does not explicitly provide when-to-use or when-not-to-use conditions beyond the implicit reading vs. writing distinction.

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

Install Server

Other Tools

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/espressif/esp-rainmaker-mcp'

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