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Code Gym AWS Emulator MCP

Code Gym AWS Emulator MCP

by B11-Health

dynamodb_put_item

Stores an ID and message as an item in a specified DynamoDB table inside the local AWS emulator, enabling local data setup and testing.

Instructions

Store id and message strings

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>",
      "item_id": "<item_id>",
      "message": "<message>"
    },
    "name": "dynamodb_put_item"
  }
}

Input Schema

NameRequiredDescriptionDefault
tableYes
item_idYes
messageYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0-beta.1

TDQS

C2.1/5.0
Behavior2/5

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

Annotations already declare a non-read-only, non-idempotent, non-destructive write, and the description adds nothing beyond them. Critically, it omits put-item semantics such as overwriting an existing item with the same key, which matters directly given idempotentHint=false.

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?

The single short sentence is front-loaded and free of filler, but its brevity comes from under-specification rather than economy. There is nothing extraneous to cut, yet almost nothing useful is present.

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 3-required-parameter mutation with no output schema and 0% schema coverage, the description should cover the table target, key uniqueness and overwrite behavior. It covers none of these, leaving real gaps an agent would hit at call time.

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 description coverage is 0% with 3 required parameters, and the description only alludes to two of them ('id and message'). It says nothing about the 'table' parameter, which is required and determines where the write lands.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Store id and message strings' essentially restates the item_id and message parameters rather than saying what the tool does at a resource level. It never mentions DynamoDB, a table, or writing an item, so the only clue to purpose is the tool name.

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 versus siblings such as dynamodb_get_item or s3_put_object, and no mention of prerequisites like the target table existing. The agent must infer everything from the tool name.

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