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Advanced Device Search

advanced_device_search
Read-onlyIdempotent

Find devices matching complex criteria like software, last seen, or operating system using structured filters. Returns paginated results from your Automox environment.

Instructions

Execute an advanced device search using the Automox Advanced Device Search API's structured query language. Enables complex queries like 'find all Windows devices not seen in 30 days' or 'devices with nginx installed' using field-based filtering. Pass query as a dict with a filters list of AND/OR groups, each a list of conditions: {"filters": [{"AND": [{"scope": "SOFTWARE", "field": "pkgDisplayName", "operator": "IN", "values": ["nginx"]}]}]}. Use get_searchable_fields for valid scope/field/operator combos and device_search_typeahead to discover values. The org is scoped automatically. limit sets the page size.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo
pageNo
limitNo
output_formatNojson

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds valuable context about automatic org scoping and the query structure beyond what annotations provide. 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is 4 sentences, front-loaded with purpose, includes examples, and ends with guidance. Every sentence is informative and no redundancy. Well-structured and concise.

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?

Given the tool's complexity and the presence of an output schema (which likely covers return values), the description covers the main parameter and usage context. However, it omits pagination details for `page` parameter, leaving a minor gap. Otherwise comprehensive.

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?

With 0% schema coverage, the description compensates by thoroughly explaining the `query` parameter with a concrete example and structure. It also mentions `limit` sets page size, but does not detail `page` or `output_format`. Overall, it adds significant meaning.

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 executes an advanced device search using a structured query language. It provides specific examples like 'find all Windows devices not seen in 30 days' and distinguishes from sibling tools by referencing the unique query format.

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?

The description explicitly tells when to use this tool for complex queries and directs the agent to supporting tools like `get_searchable_fields` and `device_search_typeahead` for constructing valid queries. This provides clear guidance on usage and alternatives.

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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