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frothkoetter

iceberg-mcp-server-hive

by frothkoetter

execute_query

Run read-only SQL queries on Apache Iceberg tables via HiveServer2 and return JSON results.

Instructions

Execute a read-only SQL query on Hive (Iceberg tables) and return JSON results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
Behavior3/5

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

With no annotations provided, the description carries the full burden. It states the tool is read-only, which is a key behavioral trait, but lacks details on error handling, performance, or limitations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no wasted words. However, it could include more context without becoming verbose.

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

Completeness3/5

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

Given the simple tool (one param, no output schema, no annotations), the description covers basic purpose but omits details like result structure, pagination, or error behavior.

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

Parameters2/5

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

The schema has 0% coverage, so the description should compensate. It adds that the query is SQL, but provides no additional details like syntax, formatting, or restrictions, leaving agents underinformed.

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 specifies the action (execute), resource (SQL query on Hive Iceberg tables), and output (JSON results). It effectively distinguishes from sibling tools like get_schema and list_databases.

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 the tool is for executing read-only SQL queries but does not provide explicit guidance on when to use it versus siblings, nor does it mention exclusions or prerequisites.

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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