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search_entities

Search across entity IDs, names, and attributes to find matching devices, sensors, or automations. Specify a query and optionally limit results to quickly locate specific entities in Home Assistant.

Instructions

Search for entities matching a query string across IDs, names, and attributes.

Args: query: Search term (no wildcards; empty string returns all entities) limit: Max results (default: 20)

Examples: search_entities("temperature") search_entities("living room", limit=10)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo
Behavior3/5

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 key behaviors like no wildcards and empty query behavior, but omits details such as case sensitivity, exact match vs partial match, and return format.

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 relatively concise and uses a standard Args format with examples. However, it could be slightly more streamlined by merging the introductory sentence with the Args section.

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 no output schema, the description does not explain return values or result format. It sufficiently covers the two input parameters but lacks completeness for an agent to understand what the tool returns.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description fully compensates. It explains each parameter clearly: query with constraints and limit with default value, plus examples for clarity.

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?

The description clearly states it searches for entities across IDs, names, and attributes. However, it does not differentiate from sibling tools like 'list_entities' or 'query_entities', which may have overlapping functionality.

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?

Provides usage guidelines such as no wildcards, empty string returns all, and a default limit. But lacks explicit guidance on when to use this tool versus similar sibling tools.

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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