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dlt-hub

dltHub-AI-workbench

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by dlt-hub

search_dlthub_sources

Find dlt sources on dlthub by searching names or descriptions to quickly locate data pipeline components.

Instructions

Search for available dlt sources on dlthub by name or description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch term to find sources by name or description. Empty string returns all sources alphabetically.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the full burden for behavioral disclosure. It only says 'Search', implying read-only, but does not explicitly state side effects, auth requirements, or return behavior.

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 one sentence with no filler, achieving maximum conciseness while still conveying the essential purpose.

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 simple search tool with one parameter and an output schema, the description is adequate. It could optionally mention the return format, but the existence of an output schema minimizes the need.

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?

The schema description for the single parameter 'query' is already detailed and covers coverage at 100%. The tool description adds minimal additional meaning beyond the schema, meeting the baseline for high schema coverage.

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 the verb 'Search', the resource 'available dlt sources on dlthub', and the method 'by name or description'. It is specific and distinguishes from sibling tools that deal with SQL, schema, or pipeline state.

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?

No guidance is provided on when to use this tool versus alternatives. The description only states what it does, without indicating when it is appropriate or when another tool might be better.

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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