accelerated-intelligent-document-processing-on-aws
The IDP Accelerator provides a scalable, serverless approach for automated document processing and information extraction using AWS services, such as Amazon Bedrock Data Automation and Amazon Bedrock foundational models. It combines generative AI and optical character recognition (OCR) to process documents at scale.
Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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aws-solutions-library-samples
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No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
34/34 tools missing one or more hints — batchreprocess (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); getresults (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); batchrun (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +31 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tool handlers catch errors
Only 14/29 tool handlers wrap calls in try/catch (48%)
Wrap each tool handler body in try/catch and return a structured error response.
Tool test coverage
22/34 tools referenced in tests (65%)
Write tests that reference each tool by name so every tool has at least one test.
Secrets not logged
17 secret values sent to console.log
Redact or omit secret values from log output.
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