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questdb

mcp-server-questdb

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get_table_schema

Retrieve the complete DDL definition for a specific table or materialized view, enabling you to inspect column types, constraints, and schema details directly.

Instructions

Get the full schema definition (DDL) for a specific table or materialized view

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
table_nameYesThe name of the table or materialized view to get schema for
Behavior3/5

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

With no annotations, the description carries the full burden. It clearly implies a read-only operation ('Get') and specifies the return type (DDL), but does not mention error handling, permissions, or whether the table must exist. This is adequate for a simple getter but lacks additional behavioral context.

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, direct sentence with no filler. It conveys the necessary information in a compact, front-loaded manner.

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 tool with one parameter and no output schema, the description sufficiently covers purpose and parameter. It could be improved with usage guidance or notes on return format, but the simplicity of the tool makes this a near-complete description.

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%, with table_name described as 'The name of the table or materialized view to get schema for'. The tool description reinforces this (mentions table or materialized view) but adds no extra semantics beyond what the schema already provides.

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 a specific action ('Get') and resource ('full schema definition (DDL) for a specific table or materialized view'). It implicitly distinguishes from siblings like get_tables (list tables) and get_table_details (likely non-DDL details) by emphasizing DDL, but does not explicitly name alternatives.

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 like get_table_details or validate_query. The description only states what the tool does, leaving the context of use entirely implicit.

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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