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Bauplan MCP Server

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get_schema

Retrieve schemas of all data tables in a specified branch or reference of your Bauplan data catalog. Provide a branch name to obtain table field definitions.

Instructions

Retrieve schemas of all data tables in a specified branch or reference of the user's Bauplan data catalog as a list, using a branch name.

Args: 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. namespace: Optional namespace table filter to use.

Returns: SchemasOut: Schema object with table fields

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refYes
namespaceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
tablesYes
Behavior3/5

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

No annotations provided. Description explains that ref can be a branch name or commit hash, which adds behavioral context. However, it does not explicitly state that the operation is read-only or discuss any side effects.

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?

Description includes Args and Returns sections which are clear. It is not overly verbose, though the ref explanation could be slightly more concise.

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 that an output schema exists, the description need not detail return values. It adequately covers the core purpose and parameters. Lacks discussion of edge cases like invalid ref, but acceptable for a retrieval tool.

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

Parameters5/5

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

Schema parameter descriptions are missing (0% coverage), but the tool description fully explains both parameters: ref format in detail and namespace as optional filter. This significantly aids correct usage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states 'retrieve schemas of all data tables' with verb and resource. Distinguishes from siblings like get_table (single table) and get_branches (branches).

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. Does not mention when to use get_schema over get_table or other query tools.

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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