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Bosch Smart Home Camera MCP Server

by mosandlt

bosch_camera_darkness_threshold_set

Adjust the day/night darkness threshold and/or soft light fading for Gen2 Bosch cameras. Set a specific brightness percent or enable fading to control when the camera switches modes.

Instructions

Set the day/night lighting threshold and/or fading mode. Gen2 cameras only.

At least one of threshold_percent (0-100) or soft_light_fading must be provided; the other field is preserved from the camera's current setting.

API: PUT /v11/video_inputs/{id}/lighting Body: {"darknessThreshold", "softLightFading"}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cameraYes
soft_light_fadingNo
threshold_percentNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
soft_light_fadingYesWhether lights fade smoothly (True) or snap on/off (False)
threshold_percentYesAmbient-darkness trigger threshold, 0=always day .. 100=always night
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It states that the operation is a mutation, that unspecified fields are preserved, and that only Gen2 cameras are supported. It also gives the exact API endpoint and body fields, which helps the agent anticipate the underlying request.

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 efficiently structured: the main purpose leads, then the key constraint, then the API details. Each sentence serves a purpose and there is minimal redundancy.

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?

For a three-parameter setter with an output schema and no annotations, the description is largely complete. It captures the core operation, the parameter constraint, the partial-update semantics, and the low-level API mapping. It omits permission requirements, but that is a relatively minor gap for this context.

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?

Schema descriptions are missing entirely (0% coverage), so the description must compensate. It does: it gives the 0-100 range for threshold_percent, explains soft_light_fading as a fading mode, and clarifies the 'at least one required' constraint. The camera parameter is not described, but the API path implies it is the camera ID.

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 opens with a specific verb and resource: 'Set the day/night lighting threshold and/or fading mode.' It also scopes the tool to Gen2 cameras only, which clearly identifies its purpose and distinguishes it from the corresponding getter, bosch_camera_darkness_threshold_get, and from other lighting tools.

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 gives useful usage constraints: Gen2 cameras only, and at least one of threshold_percent or soft_light_fading must be provided. It clearly implies when to use this tool versus the matching getter, and explains the partial-update behavior.

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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