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search_use_cases

Find use-case pages for your workflow or business goal. Describe your outcome, like 'automate social media' or 'build dashboards', and get links to relevant AI agent skills.

Instructions

Search BytesAgain use-case pages by a real-world goal or workflow. Use this when the user describes an outcome such as "write a weekly report", "automate social media", "build BI dashboards", or asks how AI agents can help with a domain. Each result links to a use-case page with relevant skills. Combine this with search_skills when the user wants both workflow guidance and concrete tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of use cases to return. Default 10, maximum 30.
queryYesNatural-language workflow, task, or business goal, e.g. "analyze sales data" or "write job descriptions".
Behavior3/5

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

No annotations are provided, so description carries full burden. It explains results link to use-case pages with relevant skills, but lacks details on pagination, sorting, or potential side effects (though none expected for a search tool).

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?

Three sentences, front-loaded with purpose, examples, and combination guidance. No wasted words.

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 2-param search tool with no output schema, description adequately covers input, output linkage, and usage context. Could mention result count or format, but 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 coverage is 100% with descriptions for both parameters. Description adds example queries for query param but adds no extra meaning beyond schema for limit. 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?

The description states the tool searches use-case pages by real-world goal or workflow, gives concrete examples, and distinguishes from search_skills by mentioning combination for both workflow guidance and tools.

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?

Provides clear when-to-use with examples and suggests combining with search_skills for broader needs, but does not explicitly exclude cases where other siblings like get_skill are more appropriate.

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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