Skip to main content
Glama
Code Gym AWS Emulator MCP

Code Gym AWS Emulator MCP

by B11-Health

s3_create_bucket

Create an emulated S3 bucket in the local AWS sandbox to test S3 workflows and resource setup without an AWS account.

Instructions

Create emulated S3 bucket

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "bucket": "<bucket>"
    },
    "name": "s3_create_bucket"
  }
}

Input Schema

NameRequiredDescriptionDefault
bucketYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0-beta.1

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond them – it does not say what happens when the bucket already exists (non-idempotent, so presumably an error), what permissions or emulator state are required, or whether creation is reversible. For a mutation tool this is a notable gap.

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?

Four words with no filler and the verb-resource ordering is front-loaded. It is efficient, though the brevity borders on under-specification rather than being an example of well-structured completeness.

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 create/mutation tool with no output schema and an entirely undocumented parameter, the definition leaves out essentials: required emulator state, behavior on duplicate names, and naming rules. The annotations cover safety hints but not the operational context an agent needs to invoke this correctly.

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?

There is a single required parameter (bucket) with 0% schema description coverage, so the description carries the full burden of explaining it. It does not describe naming constraints, case sensitivity, uniqueness, or format expectations, adding no meaning beyond the bare property name.

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 states a specific verb (Create) and resource (emulated S3 bucket), which is enough to distinguish it from siblings like s3_delete_bucket and s3_list_buckets. It is terse but not tautological – the word 'emulated' adds a meaningful qualifier about the target environment.

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?

There is no guidance on when to use this versus alternatives such as emulator_start or dynamodb_create_table, nor any stated preconditions (emulator must be running, bucket name uniqueness/naming rules). An agent must infer all of this from the tool name alone.

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