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Tai-DT
by Tai-DT

search_expo_docs

Search Expo documentation with semantic search and Gemini AI to get relevant answers and code examples.

Instructions

Search through Expo documentation using semantic search with Gemini AI enhancement

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe search query for Expo documentation
useGeminiNoWhether to use Gemini AI for enhanced results (default: true)
maxResultsNoMaximum number of results to return (default: 5)
Behavior2/5

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

With no annotations, the description carries the burden of behavioral disclosure. It mentions semantic search and Gemini AI enhancement, but these are also reflected in the useGemini parameter. It does not disclose return format, failure modes, or what 'enhancement' actually does, leaving significant behavioral ambiguity.

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 a single, front-loaded sentence with no filler or redundant information. It is appropriately concise for a search tool.

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

Completeness2/5

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

There is no output schema, yet the description does not explain what the tool returns or how maxResults affects results. It also lacks any context about result format or behavior on empty queries, making it incomplete for an agent to predict the tool's output reliably.

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 input schema has 100% coverage with clear descriptions for query, useGemini, and maxResults. The description adds little beyond the schema, only indirectly referencing Gemini enhancement, so the baseline score of 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 clearly states the tool searches Expo documentation, with specific details about semantic search and Gemini AI enhancement. This distinguishes it from sibling tools like get_expo_examples and explain_expo_concept, which serve different purposes.

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 gives no explicit guidance on when to use this tool versus the sibling tools. It only implies usage through the action 'Search through Expo documentation,' with no mention of alternatives, exclusions, or prerequisites.

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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