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BauplanLabs

Bauplan MCP Server

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by BauplanLabs

has_table

Check if a table exists in a specific branch of the Bauplan data catalog using its name and branch reference.

Instructions

Check if a specified table exists in a given branch of the user's Bauplan data catalog using a table name and branch name.

Args: table: Name of the table to check for existence. ref: A reference to a commit that is a state of the user data lake: can be either a hash that starts with "@" and has 64 additional characters or a branch name, that is a mnemonic reference to the last commit that follows the "username.name" format.

Returns: TableExists: Object indicating whether the table exists with details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableYes
refYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
table_nameYes
existsYes
messageYes
Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits like read-only nature, authentication needs, or error cases. While 'check' implies no side effects, this is not explicitly stated, leaving ambiguity.

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 concise: one sentence for purpose, followed by parameter details. It is front-loaded with the core action and avoids extraneous content.

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 simplicity of the tool and presence of an output schema (TableExists), the description covers inputs and output adequately. However, it lacks differentiation from sibling tools and does not provide context on when this check is useful.

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 coverage is 0%, but the description compensates by defining both parameters: 'table' as the table name and 'ref' with detailed format (hash or branch name following 'username.name' pattern). This adds significant meaning 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 the tool checks if a table exists in a branch, with specific verb ('check'), resource ('table'), and scope ('in a given branch'). It naturally distinguishes from siblings like has_branch or has_namespace by focusing on tables.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives (e.g., get_table, list_tables). The description only states what it does without mentioning prerequisites or when not to use it.

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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