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yangkyeongmo

MCP Server for OpenMetadata

by yangkyeongmo

suggest_entities

Suggest entities for auto-completion based on a query, optionally filtered by index and field, with configurable result size.

Instructions

Get suggested entities for auto-completion

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYes
indexNo
fieldNo
sizeNo
Behavior1/5

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

With no annotations, the description carries the full burden of disclosing behavior but only says 'Get suggested entities for auto-completion'. It omits critical details like whether it is read-only, rate limits, what gets returned, or any side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, front-loaded with the core purpose. It wastes no words, though it could benefit from slightly more detail.

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

Completeness1/5

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

Given the lack of annotations, output schema, and parameter descriptions, the description is extremely incomplete. It fails to cover return format, pagination, or any behavioral constraints, making it insufficient for confident agent usage.

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

Parameters1/5

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

The input schema has 0% description coverage, and the description does not explain any parameter. The meaning of 'q', 'index', 'field', and 'size' remains ambiguous (e.g., what indices or fields are valid?).

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 'Get suggested entities for auto-completion', which clearly indicates the tool retrieves suggestions for autocomplete. However, it does not distinguish itself from sibling tools like search_entities, which also handle entity searches.

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 such as search_entities or search_field_query. There is no mention of context, prerequisites, or exclusions.

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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