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Bulk Parse User Agents

user_agent_bulk_parse
Read-onlyIdempotent

Parse up to 100 user-agent strings at once. Returns parsed objects for each, with individual error messages on failure.

Instructions

Parse up to 100 user-agent strings in a single request. Returns an array of parsed objects — same fields as single parse. Individual parse failures include a 'message' field without blocking other results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ua_stringsYesList of user-agent strings to parse (max 100). Example: ["Mozilla/5.0 (Windows ...)", "Googlebot/2.1 (...)"]
Behavior4/5

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

Annotations declare readOnlyHint, destructiveHint, idempotentHint. Description adds that individual failures return a 'message' without blocking other results, providing useful context beyond annotations.

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 and informative sentences, front-loading the main action and key constraints.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple batch tool with one parameter and existing annotations, description adequately covers behavior and failure handling.

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 description and example for ua_strings. Description adds no additional parameter-level detail beyond what schema provides.

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 up to 100 user-agent strings in a single request, contrasting with the sibling user_agent_parse for single strings.

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?

Implies usage for batch parsing instead of multiple single calls, but does not explicitly mention when not to use or compare with 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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