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frothkoetter

iceberg-mcp-server-hive

by frothkoetter

get_schema

Retrieve table names from a Hive database, optionally specifying a database, to discover available Iceberg tables.

Instructions

List table names in the configured Hive database, or in an optional database.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions listing tables but does not disclose permissions needed, error behavior if database doesn't exist, or whether the output includes fully qualified names. The read-only nature is implied but not explicit.

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?

Single sentence, front-loaded with the verb 'List' and resource 'table names'. No unnecessary words; efficient and to the point.

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 tool is simple with one optional parameter and no output schema, the description is adequate but could be more complete by mentioning what exactly is returned (e.g., table names only, not columns) and the default database behavior.

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 description coverage is 0%, but the description adds value by explaining that the database parameter is optional and lists table names from the configured or specified database. It clarifies the parameter's purpose beyond the bare 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 the tool lists table names in a Hive database, with an optional parameter to specify a database. It distinguishes itself from siblings like list_databases (which lists databases) and execute_query (which runs queries).

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 listing tables but does not explicitly state when to use this tool versus alternatives like list_databases or execute_query. No exclusions or prerequisites are mentioned.

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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