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search_setup_engine

Set up search engine integration across Elasticsearch, Meilisearch, or Typesense. Define collections, authenticate, and enable database-to-search sync for instant indexing.

Instructions

Set up a search engine integration with Elasticsearch, Meilisearch, or Typesense

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
engineNoSearch engine to integratemeilisearch
api_keyNoAPI key for authentication
collectionsYesCollections/indices to create (e.g. 'products', 'articles')
include_syncNoWhether to include database-to-search sync
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. 'Set up a search engine integration' only conveys a high-level action and does not reveal side effects, created resources, auth requirements, or whether existing configurations are modified. It does not contradict annotations because none exist.

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, wasted words, or repetition of schema details. It states the action and the supported providers immediately. If anything it is terse, but that is a completeness issue rather than a structure issue.

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?

This is a setup/mutation tool with no annotations, no output schema, and multiple overlapping sibling tools such as searchidx_setup and search_generate_index. The description omits what artifacts are created or modified, whether credentials are required, and when to prefer this tool over its siblings. The schema documents parameters well, but the surrounding context is too sparse for reliable tool selection.

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% description coverage, including enums, defaults, and parameter explanations, so the description does not need to add much. It does echo the three engine choices, but that adds no semantic value beyond the schema's engine enum. Baseline 3 is appropriate.

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 states a clear action ('Set up a search engine integration') and names the specific target providers: Elasticsearch, Meilisearch, or Typesense. It is not a tautology and communicates the core purpose, though it does not explicitly differentiate itself from overlapping siblings like searchidx_setup or search_generate_index.

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 guidance on when to use this tool versus alternatives. It does not mention exclusions, prerequisites, or why an agent should choose this over searchidx_setup or searchidx_add_autocomplete. The context must be inferred entirely from the tool name and the provider list.

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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