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SirojWongpitakroj

MHTL Warehouse MCP Server

Run a read-only SQL query

query

Retrieve data from the motorcycle-loan warehouse with read-only SELECT or WITH queries. Use placeholders for parameters and automatically limited results.

Instructions

Execute a read-only SELECT/WITH SQL query against the DuckDB warehouse and return the rows. Tables live in the 'main' schema (e.g. dms_customer, dms_contract, dms_contact_note, los_loan_app). A LIMIT is applied automatically if you omit one. Use ? placeholders with the params array for values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYesA single read-only SELECT or WITH statement.
paramsNoPositional parameters bound to ? placeholders in the SQL.
max_rowsNoMaximum rows to return (default 200).
Behavior3/5

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

With no annotations, the description bears full responsibility. It declares read-only behavior and automatic LIMIT, but does not detail error handling, performance, or return format. Adequate but not comprehensive.

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?

Three concise sentences front-load the core action, table context, and parameter usage. No wasted words.

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?

Given no output schema and simple tool purpose, description adequately covers read-only constraint, table schema hint, parameter binding, and automatic limit. Minor gap on error handling.

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

Parameters4/5

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

Schema covers all 3 parameters (100% coverage). Description enhances meaning by explaining ? placeholders with params array and default max_rows. Adds value over schema alone.

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?

Description clearly states it executes read-only SQL queries against DuckDB, distinguishing it from sibling tools that provide predefined insights or table metadata. The verb 'Execute' and resource 'read-only SQL query' are specific.

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 usage for custom SQL queries but does not explicitly state when to use this tool over siblings like customer_insights or describe_table. Absence of when-not or alternative guidance limits clarity.

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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