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nikhgupta

MindsDB MySQL MCP Server

by nikhgupta

create_kb

Create a knowledge base with embedding model configuration for semantic search and data organization in MindsDB MySQL MCP Server.

Instructions

Create a new knowledge base with embedding model configuration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesKnowledge base name
embedding_modelYesEmbedding model config with provider, model_name, api_key
content_columnsYesColumns to embed
metadata_columnsNoMetadata columns
id_columnNoID column name
reranking_modelNoOptional reranking model config
storageNoVector storage backend (default: chromadb)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool creates something new but doesn't mention permissions required, whether this is a destructive operation, rate limits, error conditions, or what happens on success (e.g., returns an ID). For a creation tool with zero annotation coverage, this is a significant gap.

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, efficient sentence that front-loads the core purpose without any wasted words. It's appropriately sized for the tool's complexity.

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?

For a creation tool with 7 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., a knowledge base ID), error handling, or behavioral nuances like idempotency. The schema covers parameters well, but the description fails to compensate for missing annotation and output context.

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?

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond implying that embedding model configuration is central, but doesn't provide additional context like default values (e.g., 'storage' defaults to 'chromadb') or usage examples. Baseline 3 is appropriate when the schema does the heavy lifting.

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 the action ('Create a new knowledge base') and specifies the key configuration aspect ('with embedding model configuration'), which distinguishes it from siblings like 'insert_kb' or 'search_kb'. However, it doesn't explicitly differentiate from 'connect_database' or other creation tools, keeping it at a 4 rather than a 5.

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 provides no guidance on when to use this tool versus alternatives like 'insert_kb' or 'connect_database'. It lacks context about prerequisites, timing, or exclusions, leaving the agent with minimal usage direction.

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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