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find_flyte_example_for

Search Flyte V2 examples by describing your use case in natural language to find relevant code patterns and implementations.

Instructions

Find example themes best matching a natural-language use case.

Searches READMEs and file docstrings across all example themes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
use_caseYes
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool searches READMEs and docstrings, but doesn't describe how results are ranked, what the output format is (though an output schema exists), whether it's a read-only operation, or any performance considerations like rate limits. The description is too vague for a tool with no annotation coverage.

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 highly concise and well-structured: two sentences that efficiently convey the core purpose and scope. Every word earns its place, with no redundancy or fluff, making it easy to parse quickly.

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 the tool's moderate complexity (2 parameters, no annotations, but with an output schema), the description is incomplete. It covers the basic purpose but lacks details on behavior, parameter usage, and differentiation from siblings. The output schema mitigates some gaps, but overall, it's only minimally viable for an agent to use effectively.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions 'natural-language use case,' which loosely relates to the 'use_case' parameter, but doesn't explain the 'limit' parameter or provide any details on input formats, constraints, or examples. With 2 parameters and no schema descriptions, this is inadequate.

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 the tool's purpose: 'Find example themes best matching a natural-language use case.' It specifies the verb ('find'), resource ('example themes'), and scope ('matching a natural-language use case'). However, it doesn't explicitly differentiate from sibling tools like 'search_flyte_api' or 'get_flyte_pattern', which might have overlapping search functionality.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides minimal guidance on when to use this tool. It mentions searching 'READMEs and file docstrings across all example themes,' which implies a context for finding examples, but doesn't specify when to choose this over alternatives like 'search_flyte_api' or 'get_flyte_pattern.' No exclusions or prerequisites are mentioned.

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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