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avaazquezz

Qdrant RAG Build

by avaazquezz

ingest_url

Fetches a URL and ingests its main content into a RAG collection, stripping navigation, cookie banners, and footers from documentation pages and articles.

Instructions

Fetches a web page and ingests its main content, stripped of navigation/cookie-banners/footers. Use this for documentation pages, articles, or any URL-addressable content the user wants in the RAG.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
collectionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
doc_idYes
collectionYes
source_pathYes
chunks_createdYes
Behavior4/5

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

The description adds useful behavioral context beyond annotations: the tool makes an external network fetch and 'strips navigation/cookie-banners/footers' from the ingest content. Annotations only indicate it is not read-only and not destructive, so this extra detail about enrichment behavior is valuable. It doesn't mention potential network limits or external-access caveats, but what is disclosed is accurate.

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?

The description is concise: two sentences front-load the primary capability, then immediately follow with concrete use cases. No extra filler or redundant restatements of the tool name.

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

Completeness3/5

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

For a two-parameter tool, the description is mostly complete, and the output schema covers return-value details. However, the 'collection' parameter is never explained, which is a real completeness gap since collection is required. The behavioral caveats about fetching external URLs are also minimal, but the simplicity of the tool keeps this from being a worse score.

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% for the two required parameters, so the description needed to compensate. It explains url semantically via 'Fetches a web page' but never explains the collection parameter—what it refers to, its format, or how it's related to the RAG. This leaves a required argument underdefined.

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 states a specific action (fetches a web page), resource (URL-addressable content), and outcome (ingests main content into the RAG). It also effectively distinguishes itself from sibling tools like ingest_text, ingest_file, and ingest_directory by focusing exclusively on URL sources.

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 gives clear applicability: 'Use this for documentation pages, articles, or any URL-addressable content the user wants in the RAG.' It doesn't explicitly name alternatives or exclusions, like 'prefer ingest_file for local files', but the URL-addressable scope makes the appropriate use case clear.

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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