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Vortitron

home-assistant-mcp

by Vortitron

Snapshot of a dashboard view

ha_view_snapshot
Read-only

Fetch all data a Home Assistant dashboard view needs in one call: entity states, rendered templates, history points, and camera stills for client rendering.

Instructions

In one call, everything a dashboard view shows: the state and attributes of each entity, each Markdown template rendered, history as a few points per series, and camera stills as small RGB grids. For a client drawing a dashboard (such as a pane in Claude Code); to read a few entities yourself, ha_get_state is simpler. Parts that fail carry an error; the rest still answers. Camera stills need the key's Cameras tick through VomeHome.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
framesNoCamera stills: per key, the camera and the most pixels across and down.
historyNoHistory graphs: per key, the entities, how many hours back, and points per series.
templatesNoTemplates to render, by a key of the caller's choosing (at most 10).
entity_idsNoEntities whose state to return.
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

A4.3/5.0
Behavior4/5

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

Annotations only declare readOnlyHint and openWorldHint; the description adds genuinely useful behavior: partial-failure tolerance ('Parts that fail carry an error; the rest still answers') and a prerequisite for camera stills (the key's Cameras tick through VomeHome). The prerequisite wording is somewhat obscure, and nothing is said about output size limits or ordering.

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?

Front-loaded with the aggregate contents, then the intended caller and alternative, then failure semantics. Nearly every clause earns its place, though the trailing camera prerequisite sentence is awkwardly phrased and slightly cryptic.

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?

With five optional, deeply nested parameters and no output schema, the description does the important work of outlining what each returned section contains. It omits any note on result size, ordering, or how the caller-supplied template keys map back in the response, but the core is covered.

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 the schema already documents all five parameters including nested frames/history structures. The description restates those areas at a high level (frames, templates, history, entity_ids) without adding syntax or format detail beyond the schema, so the baseline 3 applies.

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?

States a specific verb+resource ('snapshot of a dashboard view') and enumerates exactly what the single call aggregates: entity state/attributes, rendered Markdown templates, history points, and camera stills. It also distinguishes itself from ha_get_state, which it names as the simpler alternative for reading a few entities.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly names the intended caller ('a client drawing a dashboard, such as a pane in Claude Code') and the alternative condition (reading a few entities yourself -> use ha_get_state). This is a clear when-to-use and when-to-use-something-else statement.

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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