Skip to main content
Glama
sourav-spd

AWS S3 Connector MCP Server

by sourav-spd

Create S3 Table Bucket

create_table_bucket

Create an S3 table bucket to store table data. Specify a name and optional region for the new bucket.

Instructions

Creates an S3 table bucket. Permissions: You must have the s3tables:CreateTableBucket permission.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the table bucket to create. Must be 3-63 characters long and contain only lowercase letters, numbers, and hyphens.
region_nameNoThe AWS region name where the operation should be performed.
Behavior2/5

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

No annotations are provided, and the description only states a permission requirement. It does not disclose side effects, error handling, idempotency, or what happens if the bucket already exists. For a creation tool, this is insufficient.

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 a single sentence with no unnecessary information. It is concise and to the point.

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?

The tool is simple (2 params, no output schema), but the description lacks context: no explanation of what a table bucket is, naming rules beyond schema, or what happens after creation. It feels incomplete.

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 detailed parameter descriptions (name length, region_name). The description adds no parameter information beyond the schema, but the schema already covers semantics adequately.

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 (creates) and resource (S3 table bucket). It distinguishes from sibling tools like create_table and create_namespace, but could be enhanced with a brief explanation of what a table bucket is.

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 alternatives (e.g., create_table, list_table_buckets). Only a permission requirement is mentioned, but no context on prerequisites or use cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sourav-spd/aws-s3-connector-16-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server