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yangkyeongmo

MCP Server for OpenMetadata

by yangkyeongmo

search_entities

Search for data entities in OpenMetadata by providing a query text. Optionally filter by index, entity type, service, or classification.

Instructions

Search entities using query text

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYes
indexNo
from_No
sizeNo
sortNo
service_nameNo
classificationNo
entity_typeNo
Behavior1/5

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

No annotations provided and the description does not disclose any behavioral traits (e.g., read-only, pagination, return format, authentication needs). For a search operation, this is a critical gap.

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

Conciseness3/5

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

The description is a single sentence, making it concise, but it omits essential details. It is under-specified rather than efficiently concise.

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?

Despite 8 parameters, no output schema, and no annotations, the description provides minimal context. It fails to explain filtering, pagination, sorting, or return value structure, making it inadequate for an agent to use correctly.

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?

Only 'query text' is implied from description but not directly linked to parameter 'q'. The other 7 parameters (index, from, size, sort, service_name, classification, entity_type) are undocumented in both schema and description, leaving their purpose unclear.

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 'Search entities using query text', identifying the verb (search) and resource (entities). However, among siblings like search_aggregate and suggest_entities, it does not differentiate the scope of this general entity search.

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 on when to use this tool versus alternatives such as search_aggregate, search_field_query, or suggest_entities. No context on selecting parameters 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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