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Keboola Explorer MCP Server

list_bucket_tables

Retrieve a list of all tables within a specific bucket, including their basic details, using Keboola’s Storage API for efficient data management.

Instructions

List all tables in a specific bucket with their basic information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bucket_idYesUnique ID of the bucket.
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is a list operation but doesn't mention whether it's paginated, rate-limited, requires specific permissions, or what format the 'basic information' returns. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

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, efficient sentence that gets straight to the point with no wasted words. It's appropriately sized for a simple list operation, though it could be slightly more front-loaded with key behavioral details given the lack of annotations.

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 lack of annotations and output schema, the description is incomplete. It doesn't explain what 'basic information' includes, how results are structured, or any behavioral constraints. For a tool that presumably returns multiple items, this leaves the agent with insufficient context for effective use.

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

Parameters3/5

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

Schema description coverage is 100%, so the input schema already documents the single 'bucket_id' parameter thoroughly. The description adds no additional parameter semantics beyond what's in the schema, meeting the baseline expectation when schema does the heavy lifting.

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?

The description clearly states the action ('List all tables') and target resource ('in a specific bucket'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from sibling tools like 'list_bucket_info' or 'get_table_metadata', which might offer similar or overlapping functionality.

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?

The description provides no guidance on when to use this tool versus alternatives like 'list_bucket_info' or 'query_table'. It mentions 'basic information' but doesn't clarify what that includes or exclude compared to other tools, leaving the agent to guess about appropriate usage contexts.

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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