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tobiask1977

RAPT.io MCP Server

by tobiask1977

set_fermentation_chamber_temperature

Set the target temperature for a fermentation chamber to maintain optimal brewing conditions.

Instructions

Set the target temperature for a fermentation chamber. The value is in the unit configured on the device (°C or °F).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYesTarget temperature (°C or °F depending on device setting)
chamber_idYesUUID of the fermentation chamber
Behavior2/5

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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It only mentions that the value uses the device-configured unit, but does not disclose other traits such as whether the change is immediate, if any confirmation or error feedback is returned, or any side effects. For a mutation tool, this is a significant gap.

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?

The description is a single, front-loaded sentence that conveys the purpose and key unit detail without any waste. Every word earns its place.

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 mutation tool with no annotations and no output schema, the description leaves out important contextual information such as what the tool returns (success/error), whether the setting persists, or any prerequisites (e.g., chamber must be bonded). The unit detail is helpful, but overall the description is incomplete for a setter tool.

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

Parameters3/5

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

Schema description coverage is 100% (both chamber_id and target have descriptions). The description adds no new meaning beyond the schema—it merely restates the unit information already present in the target parameter description. Baseline 3 is appropriate since the schema already documents the parameters well.

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 'Set the target temperature for a fermentation chamber' with a specific verb (set) and resource (target temperature), which distinguishes it from siblings like set_fermentation_chamber_pid or set_fermentation_chamber_light_enabled. It also adds relevant unit context.

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 provides clear context that this tool is for setting the target temperature, making its usage obvious among sibling setters. However, it does not explicitly state when not to use it or mention alternatives, so it lacks exclusions but is not misleading.

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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