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Bosch Smart Home Camera MCP Server

by mosandlt

bosch_camera_maintenance_status

Check current Bosch Smart Home cloud maintenance announcements to determine if cameras are unavailable due to scheduled or active maintenance, and get recommended actions like verifying LAN connectivity.

Instructions

Fetch the current Bosch Smart Home cloud maintenance announcement from the official community RSS feed.

Returns title, time window, link, state (active/scheduled/past/recent/unknown/idle), and a recommended_action hint for the calling agent:

  • "check_lan" — state is "active" (outage/maintenance in progress): run bosch_camera_lan_ping to check per-camera LAN reachability, then use prefer_local=True on privacy/light writes while the cloud is down.

  • "wait" — state is "scheduled": outage is upcoming; no action needed yet.

  • null — state is past/recent/unknown/idle: normal operation expected.

Use this tool when users ask why cameras are unavailable or when the cloud returns 5xx errors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool fetches from an RSS feed, returns specific fields, and provides recommended actions based on state. No contradictions.

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 bullet points and front-loads the purpose. It is slightly verbose but still clear and effective.

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?

With no parameters and no annotations, the description thoroughly explains the output, including detailed recommended_action logic. It is complete for a diagnostic tool.

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?

There are no parameters (0 params), so the baseline is 4. The description does not need to add parameter information.

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 it fetches cloud maintenance announcements from an RSS feed and specifies the output fields, including recommended actions. It is distinct from sibling tools that focus on camera-specific operations.

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?

Explicitly says 'Use this tool when users ask why cameras are unavailable or when the cloud returns 5xx errors.' This provides clear context, though no explicit alternatives are mentioned.

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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