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Vortitron

home-assistant-mcp

by Vortitron

Look at a camera

ha_camera_image
Read-only

Retrieve a camera's current still image to check framing, exposure, or view what the camera shows. Scales to specified width (default 1024 px).

Instructions

Return a camera's current still as an image you can see — to check framing, exposure, or what the camera shows. For a camera entity that shows the latest snapshot file, this is that snapshot. Home Assistant scales it to 'width' pixels wide (default 1024). Through VomeHome the API key needs Cameras ticked under Sensitive devices.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
widthNoWidth in pixels to scale the still to (default 1024).
entity_idYesThe camera entity, e.g. 'camera.front_door'.
instance_idNoOptional: the instance you mean (as listed by vomehome_list_instances). When given, the call is refused if this session is targeting a different home, instead of answering from it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.10.0

TDQS

A3.9/5.0
Behavior4/5

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

Annotations cover the read-only/open-world profile, and the description adds real behavioral detail: the still is scaled to 'width' pixels (default 1024), the snapshot-file semantics, and an auth prerequisite ('the API key needs Cameras ticked under Sensitive devices'). It does not cover latency or rate limits, but for a read tool this is solid added context.

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?

Three tight sentences, front-loaded with what the tool returns; the scale info and the VomeHome API-key prerequisite each earn their place. Slightly dense but no filler.

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?

There is no output schema, so the description correctly explains the return is an image, plus scaling and auth prerequisites. Complete enough to invoke correctly, with only minor gaps around failure modes.

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%, so entity_id, width (with min/max/default), and instance_id are already fully documented. The description restates the width default and instance-scoping behavior but adds no syntax or format detail beyond the schema, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: 'Return a camera's current still as an image you can see,' and clarifies the snapshot-file semantics. It does not name its nearest sibling (ha_camera_frame) to disambiguate, so it falls just short of a 5.

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?

Gives clear use context — 'to check framing, exposure, or what the camera shows' — which tells the agent when this is the right tool. It offers no explicit exclusions or alternative (e.g. why ha_camera_frame instead), so it is short of 5.

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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