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espressif

ESP RainMaker MCP Server

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by espressif

set_params

Set parameters for one or multiple ESP RainMaker nodes using a JSON dictionary. Apply the same settings across multiple devices for bulk operations.

Instructions

Set parameters for one or more nodes using a JSON object (dictionary).

Parameters:

  • node_id: Single node ID or comma-separated list of node IDs (e.g., "node1" or "node1,node2,node3")

  • params_dict: Dictionary containing the parameters to set

Example params_dict value: {'Thermostat': {'Power': False}}

When multiple node IDs are provided, the same parameters will be applied to all specified nodes. This is useful for bulk operations like turning off multiple devices or setting common configurations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
node_idYes
params_dictYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations present, so description must fully disclose behavior. It lacks details on side effects (overwrite vs merge), required permissions, reversibility, or error behavior. A simple 'Set parameters' is insufficient for a mutation tool.

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

Conciseness5/5

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

Concise, well-structured with parameter list and example. Every sentence adds value with no wasted words.

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

Completeness4/5

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

Given the presence of an output schema (not shown), the description adequately covers input semantics. Missing behavioral details are already penalized in transparency, but otherwise complete for the tool's simplicity.

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

Parameters4/5

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

With 0% schema description coverage, the description compensates by explaining node_id format (comma-separated) and providing an example for params_dict, adding meaning beyond the raw 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?

Clearly states the action ('Set parameters') and resource ('nodes'), with explicit example. Distinguishes from sibling get_params (retrieval) and set_schedule (scheduling).

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?

Provides context for bulk operations ('When multiple node IDs are provided... useful for turning off multiple devices') but does not mention when not to use or alternatives beyond what sibling names imply.

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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