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Bigquery.Table.Create

bigquery.table.create

Creates a BigQuery table with a defined schema under a specified dataset, using guarded writes to prevent unintended changes.

Instructions

Create a table with a schema under a dataset (guarded).

Input Schema

NameRequiredDescriptionDefault
schemaYes
confirmNo
table_idYes
dataset_idYes
project_idYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden and largely fails: 'guarded' is unexplained, the existence of a 'confirm' parameter is never described, and nothing is said about behavior when the table already exists, required permissions, or irreversibility. This is a mutation tool with zero behavioral disclosure beyond a single ambiguous adjective.

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?

A single front-loaded sentence with no filler or repetition. It is efficient, though the terseness borders on under-specification rather than deliberate brevity.

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?

An output schema exists so return values need no explanation, but for a guarded mutation with 4 required parameters, no annotations, and 0% schema coverage, the description omits everything an agent needs to call it safely — especially how to satisfy the guard via 'confirm'.

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?

Schema description coverage is 0% across 5 parameters, and the description only gestures at 'schema' and 'dataset' — it says nothing about project_id, table_id, or the essential 'confirm' parameter that implements the 'guarded' behavior. The most consequential parameter for correct invocation is completely undocumented in both schema and description.

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?

States a specific verb and resource ('Create a table') plus its placement ('under a dataset') and required content ('with a schema'), which cleanly separates it from bigquery.tables.list and bigquery.dataset.create. It stops short of naming those siblings explicitly, so it is clear but not maximally differentiated.

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 '(guarded)' tag implies a precondition but never states when to use this versus bigquery.dataset.create or bigquery.query.run, nor when not to use it. No alternatives or prerequisites are given, leaving usage entirely to 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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