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dockndevai

mcp-clickhouse

by dockndevai

Show CREATE TABLE

show_create_table

Get the complete CREATE TABLE statement for a ClickHouse table, including schema, engine, and settings. Use it to inspect or recreate table definitions.

Instructions

Return the full CREATE TABLE statement (schema, engine, settings) for a table.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableYesTable name
databaseYesDatabase name
Behavior4/5

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

With no annotations provided, the description carries the disclosure burden. It clearly states the action (Return) and the exact output scope (full CREATE TABLE statement), making the tool's behavior evident and indicating it is a read-only convenience.

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?

A single, front-loaded sentence that states the result first and adds necessary details in parentheses. There is no filler and no repetition of schema information.

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

Completeness4/5

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

For a simple read-only tool with two well-documented parameters, the description explains what will be returned. It is still missing a few contextual details, such as error behavior for missing tables or database visibility/permissions, and there is no output schema to fill that gap.

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 input schema already fully documents both required parameters. The description adds no extra semantics about the database or table parameters, but the 100% coverage justifies the baseline score of 3.

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 names the exact verb (Return) and resource (the full CREATE TABLE statement), and specifies its scope (schema, engine, settings). This is more specific than the tool name alone and clearly differentiates it from sibling tools like describe_table.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use or when-not-to-use guidance is given, and no alternative tools are named. The use case is implied by the description, but the agent isn't told how to choose between this and describe_table or list_tables.

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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