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aficiomaquinas

mcp-baserow-schema

create_table

Create a new table in a database and optionally provide initial data rows, with the first row usable as field names to define the schema.

Instructions

Create a new table in a database. Optionally provide initial data rows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoOptional initial rows. Each row is an array of values in field order.
nameYesThe name for the new table (max 255 chars).
database_idYesThe database ID to create the table in.
first_row_headerNoIf true, the first row of data is used as field names. Default: false.
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the action and optional data rows, but does not mention permissions, error behavior on duplicate names, whether the database must exist, or return values. This is insufficient for a mutation tool.

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?

The description is two sentences, front-loaded with the core purpose, and includes only the essential optional capability. No unnecessary words.

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?

Despite a clear purpose and complete schema descriptions, the tool has no annotations or output schema, and the description omits important contextual details like prerequisites, error handling, and post-creation behavior. This leaves the agent with gaps in understanding the full usage context.

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 coverage is 100%, so the schema already documents all four parameters with descriptions. The description mentions 'Optionally provide initial data rows', which aligns with the 'data' property, but adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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 uses a specific verb 'Create' and resource 'a new table in a database', which clearly distinguishes from sibling tools like create_field, create_row, and delete_table. It also mentions optional initial data rows, reinforcing the table creation scope.

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 creating a table but does not explicitly state when to use this tool instead of alternatives like create_field or create_row. There are no exclusions or alternative suggestions, leaving the timing to the agent's inference.

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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