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uc_table_list

Read-only

Retrieve a list of tables from Databricks Unity Catalog using filters for catalog, schema, or table names. Supports pagination and customizable output options.

Instructions

List tables (GET /api/2.1/unity-catalog/tables).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
catalog_nameNo
schema_nameNo
table_namesNoComma-separated list of fully qualified table names
max_resultsNo
page_tokenNo
include_browseNo
include_managed_propertiesNo
include_propertiesNo
include_table_defaultsNo
omit_columnsNo
omit_propertiesNo
omit_tagsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare 'readOnlyHint: true', indicating a safe read operation. The description adds minimal behavioral context beyond the endpoint. No contradictions.

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 concise sentence with no fluff. However, it could be slightly more informative for a tool with many parameters.

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

Completeness2/5

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

Given the 12 parameters and many sibling tools, the description is too terse. It does not explain filtering, pagination, or the meaning of boolean options. Output schema exists but description alone is insufficient.

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?

Only 1 of 12 parameters has a description in the schema (8% coverage). The description does not add any parameter meanings or usage details, failing to compensate for the low schema coverage.

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 verb 'List' and resource 'tables', and includes the API endpoint for specificity. It distinguishes from sibling tools like 'uc_table_get' or 'uc_table_create' which have different verbs.

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 does not provide explicit guidance on when to use this tool vs alternatives. Usage is implied (listing tables), but no when-not conditions 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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