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chdb-io

chdb-mcp

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by chdb-io

list_functions

List and filter chDB SQL functions by name. Returns function metadata including aggregate status, case sensitivity, and alias.

Instructions

List SQL functions available in the chDB engine.

Returns name, is_aggregate, case_insensitive, alias_to for each entry in system.functions — useful for agents discovering ClickHouse's 1000+ function library (windowFunnel, quantilesTDigest, -If/-State/-Merge combinators, etc.) in one round trip.

Args: pattern: Optional case-insensitive substring filter on the function name. Plain text only; SQL wildcards and quotes are escaped.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patternNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries full burden. It explains the read-only behavior, returned fields, and filter semantics (case-insensitive, no wildcards). Missing details on permissions or error handling, but adequate for a list operation.

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 concise with a front-loaded purpose and a clear Args section. Every sentence adds value with no wasted words.

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

Completeness5/5

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

Given the low complexity, an output schema exists, and the description covers the returned fields and filter behavior, it is complete.

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

Parameters5/5

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

The schema has 0% description coverage, but the description fully explains the 'pattern' parameter's behavior (case-insensitive substring, plain text only, wildcards escaped), adding significant value beyond the schema.

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 clearly states it lists SQL functions, specifies the returned fields (name, is_aggregate, etc.), and distinguishes from sibling tools which deal with tables, databases, queries, etc.

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?

The description implies a use case (discovering functions in one round trip) but does not explicitly state when to use vs alternatives or when not to use.

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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