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tobiask1977

RAPT.io MCP Server

by tobiask1977

get_fermentation_chamber_telemetry

Retrieve historical fermentation chamber telemetry: temperature readings, compressor/heating run times, and profile progress. Use date or session filters to isolate specific periods.

Instructions

Get historical telemetry data for a fermentation chamber, including temperature readings, compressor/heating run times, and profile progress.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateNoEnd date in ISO 8601 format
chamber_idYesUUID of the fermentation chamber
start_dateNoStart date in ISO 8601 format (e.g. 2024-01-01T00:00:00Z)
profile_session_idNoOptional UUID of a specific profile session to filter by
Behavior3/5

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

No annotations exist, so the description carries the full burden. It discloses the content of the response (temperature, run times, profile progress) but doesn't describe return format, pagination, date-range behavior, or potential empty results. This is a minimal disclosure.

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?

Single sentence, front-loaded with the core action, and no redundancy. Every element contributes to understanding the tool's purpose.

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

Completeness3/5

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

Given there's no output schema and no annotations, the description should cover more of the tool's behavior. It lists the types of telemetry but omits the structure of the returned data, whether ranges are optional, and how profile_session_id affects results. It's adequate for simple use but not fully complete.

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?

All four parameters are documented in the schema with 100% coverage, so the baseline is 3. The description adds general context about what the data contains but doesn't add any meaning beyond the schema for individual parameters.

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 uses a specific verb ('Get') and resource ('fermentation chamber') and clarifies scope as 'historical telemetry data' with concrete data types (temperature, run times, profile progress). This distinguishes it from siblings that get current chamber state or telemetry for other device types.

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 'historical telemetry' implies the tool is for retrieving past data, but it doesn't explicitly state when to choose it over get_fermentation_chamber or get_bonded_device_telemetry. Usage context is clear but alternatives are not named, so it's implied rather than explicit.

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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