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Parse User Agent

user_agent_parse
Read-onlyIdempotent

Parses a user-agent string to extract browser, device, OS, and engine details. Identifies crawlers, bots, and potential attack user-agents.

Instructions

Parse a single user-agent string to extract browser, device, OS, and engine details. Also identifies crawlers/bots and flags potential attack user-agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_agentYesThe user-agent string to parse (e.g. "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 ...").
Behavior4/5

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

Annotations already indicate safe, read-only, idempotent behavior. Description adds that it identifies crawlers/bots and flags potential attack user-agents, providing extra behavioral context beyond the schema.

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?

Two concise sentences, front-loaded with verb and resource. No extraneous information.

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?

For a single-parameter tool with no output schema, the description explains what it extracts and additional capabilities. Could specify return format more, but generally sufficient.

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 has 100% coverage with a clear description and example. The tool description does not add additional semantic meaning to the parameter, so baseline 3 is appropriate.

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?

Clearly states it parses a single user-agent string to extract browser, device, OS, engine details, and identifies bots/attacks. Distinguishes from sibling 'user_agent_bulk_parse'.

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?

No explicit when-to-use or when-not-to-use guidance. The description implies use for single user-agent strings, but doesn't contrast with bulk sibling or mention any constraints.

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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