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Code Gym AWS Emulator MCP

Code Gym AWS Emulator MCP

by B11-Health

dynamodb_create_table

Create a DynamoDB table with a string ID key in the local AWS emulator sandbox, so you can model and test table resources without an AWS account.

Instructions

Create DynamoDB table with string id key

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": {
      "table": "<table>"
    },
    "name": "dynamodb_create_table"
  }
}

Input Schema

NameRequiredDescriptionDefault
tableYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0-beta.1

TDQS

C2.6/5.0
Behavior2/5

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

Annotations already declare the safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=false, openWorldHint=false), so the lower bar applies. The description adds almost nothing beyond that: it does not say what happens when a table of the same name already exists, which the idempotentHint=false makes especially important to know, nor does it disclose the key schema or throughput defaults it applies.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One short, front-loaded sentence with no padding. Brevity is achieved, but partly by under-specification; the "string id key" clause costs tokens without resolving the parameter question.

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 mutation tool with no output schema, an undocumented sole parameter, and no return or error behavior described, the definition leaves too much to inference. An agent could call it but cannot predict success, failure on duplicates, or naming rules.

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 coverage is 0% and the single parameter "table" is an undescribed string. The description does not clarify whether it is a table name, an ARN, or a serialized definition, and "with string id key" describes the resulting key type rather than the parameter, so it fails to compensate for the gap.

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 DynamoDB table." That is enough to separate it from dynamodb_delete_table, dynamodb_describe_table and the s3/sqs create siblings. The trailing clause "with string id key" adds an unclear detail rather than sharpening scope, since no key parameter appears in the schema.

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 create a table versus inspect existing ones with dynamodb_list_tables or dynamodb_describe_table, and no prerequisites such as endpoint, region, or credential needs. The agent must infer the workflow entirely.

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