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sourav-spd

AWS S3 Connector MCP Server

by sourav-spd

Create S3 Table

create_table

Creates an S3 table in a specified namespace within an S3 table bucket, allowing configuration of format and metadata.

Instructions

Creates a new S3 table associated with the given S3 namespace in an S3 table bucket. The S3 table can be configured with specific format and metadata settings. Permissions: You must have the s3tables:CreateTable permission.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name of the table. Must be 1-255 characters long and contain only alphanumeric characters, underscores, and hyphens.
formatNoThe format for the S3 table.
metadataNoThe metadata for the S3 table (JSON string).
namespaceYesThe name of the namespace. Must be 1-255 characters long and contain only alphanumeric characters, underscores, and hyphens.
region_nameNoThe AWS region name where the operation should be performed.
table_bucket_arnYesTable bucket ARN
Behavior2/5

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

No annotations provided; description only mentions permissions. Does not disclose idempotency, side effects, error behavior, or whether table creation is immediate or asynchronous.

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?

Two well-structured sentences. Concise but not overly brief; permissions are noted separately. No redundant information.

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?

For a creation tool with 6 parameters and no output schema, description lacks return value info (e.g., table ARN), behavioral details, and guidance on prerequisites or failure modes.

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% with descriptions for all 6 parameters. Description adds no new meaning beyond restating 'format and metadata settings.' Baseline 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?

Description clearly states 'Creates a new S3 table' and specifies association with namespace and bucket, with configurable settings. Distinct from sibling tools like create_table_bucket and create_namespace.

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 guidance on when to use this tool versus siblings such as rename_table, append_rows, or import_csv. Missing context for prerequisites (e.g., existing bucket/namespace) or typical use cases.

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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