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Three tools with basic verb naming (list_*, upload) but significant quality gaps. All tools have descriptions, but they are generic and lack actionable detail for LLM selection. Input schemas are present but incomplete: list_buckets has empty schema ({}), upload and list_files lack parameter descriptions entirely. No output schemas documented. Error handling returns unstructured strings instead of structured guidance. No pagination support despite list_* tools. Missing parameter constraints (enums, ranges). Overall structure is minimal, typical of early-stage community servers.
Lists all S3 buckets.
Lists all files within a specified folder in the S3 bucket.
Uploads all files in the local folder to the S3 bucket. Skip files that already exist in the S3 bucket. Files are uploaded to the given S3 folder.
list_buckets has empty input schema ({}). No parameters documented, but schema must be explicit even for zero-parameter tools.
upload and list_files parameters lack descriptions. 'local_folder', 's3_folder' have type but no guidance on format, constraints, or examples. LLMs cannot infer whether paths are absolute, relative, or glob patterns.
No output schemas documented. Tools return untyped list[str] | str. LLMs cannot plan downstream calls or extract structured data. Violates pattern:response-shaper.
Error responses are unstructured strings (e.g., 'AWS credentials not found...'). No recovery guidance, no error classification (retryable vs fatal). Agents cannot self-correct.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 39 | 2026-07-28+ | v2 |
Hardcoded BUCKET_NAME='laroccacharly' in server.py. Tool descriptions do not mention which bucket is targeted. Users cannot select buckets dynamically; upload and list_files always use the same hardcoded bucket.