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@yawlabs/aws-mcp

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by YawLabs

aws_docs_read

Read-onlyIdempotent

Fetch any AWS documentation page and convert it to clean markdown. Handles pagination for long pages, returning content in manageable chunks.

Instructions

Fetch an AWS documentation page and return it as markdown. url must be an https://docs.aws.amazon.com/...html page (typically one returned by aws_docs_search). Long pages are paginated: pass startIndex (default 0) and maxLength (default 5000 chars); the response includes hasMore and nextStartIndex -- call again with nextStartIndex to continue. Strips nav/cookie-banner/feedback chrome before converting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesAWS docs page URL: https://docs.aws.amazon.com/<...>.html. Usually from an aws_docs_search result.
startIndexNoCharacter offset to start from (for paginated reads). Default 0.
maxLengthNoMax characters of markdown to return. Default 5000; max 1000000.
Behavior5/5

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

Annotations indicate readOnly, non-destructive, idempotent. The description adds that it strips nav/cookie-banner/feedback chrome, paginates with startIndex/maxLength, and the response includes hasMore/nextStartIndex. No contradiction with annotations.

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

Conciseness5/5

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

Two sentences with pagination details. Front-loaded with main functionality. Every sentence is informative and necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read tool with 3 params and no output schema, the description explains pagination flow, default values, and chrome stripping. It is fully complete for effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%. Description adds context for the URL parameter (must be AWS docs page, from search) and explains pagination parameters (defaults, meaning of startIndex/maxLength). Adds value beyond schema descriptions.

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

Purpose5/5

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

The description clearly states 'Fetch an AWS documentation page and return it as markdown.' It specifies the required URL format and mentions it complements aws_docs_search, distinguishing it from sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains that the URL must be an AWS docs page, typically from aws_docs_search, and provides pagination details. It implicitly tells when to use this tool (after search) but doesn't explicitly state when not to use it, though context is sufficient.

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

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