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sourav-spd

aws-s3-connector-mcp

by sourav-spd

connect_s3

Connect to an AWS S3 bucket with credentials for private access or via a public URL, with auto-detected region.

Instructions

Connect to an AWS S3 bucket. Supports two modes:

  1. Credentials mode (private buckets): provide aws_access_key_id + aws_secret_access_key + region_name.

  2. Public mode (no credentials): provide s3_url only — region is auto-detected from the URL. Accepted s3_url formats: s3://bucket-name, https://bucket.s3.amazonaws.com, https://bucket.s3.REGION.amazonaws.com.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
s3_urlYesS3 bucket URL (e.g. s3://my-bucket or https://my-bucket.s3.us-east-1.amazonaws.com)
region_nameNoAWS region (e.g. us-east-1). Auto-detected from s3_url if not provided.
aws_access_key_idNoAWS Access Key ID (required for private buckets)
aws_session_tokenNoAWS Session Token for temporary credentials (optional)
aws_secret_access_keyNoAWS Secret Access Key (required for private buckets)
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses connection modes, credential requirements, and region auto-detection, but does not mention side effects (e.g., session creation, network requirements) or whether the connection is persistent. Adequate but not comprehensive.

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 concise, using two sentences and bullet points. It is front-loaded with the main purpose and every sentence adds value. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 5 parameters, two modes, and no output schema, the description covers the accepted URL formats, mode conditions, and auto-detection. It is sufficient for an agent to understand how to invoke the tool correctly, though return value behavior is omitted.

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

Parameters4/5

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

Schema description coverage is 100%, so parameters are well-documented in the schema. The description adds extra meaning by explaining the two modes and how parameters relate (e.g., region auto-detected, credentials required for private), adding value beyond the schema.

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 clearly states the tool connects to an AWS S3 bucket and distinguishes two modes (credentials vs public). It is specific about the resource (S3 bucket) and the verb (connect), and it differentiates from sibling tools which are object operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to use each mode: credentials for private buckets, public mode for public buckets. It provides clear context on prerequisites and auto-detection, but does not explicitly state when not to use the tool or mention alternatives beyond siblings.

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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