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Add a web page to the knowledge base by scraping, chunking, embedding, and storing its content for future queries.

Instructions

Add a web page to the knowledge base: scrape the URL, chunk and embed its text, and store it so future ask/search calls can use it. Use this to teach the system new source material before querying it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe web page URL to scrape, chunk, embed, and add to the knowledge base.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses the main side effects: will scrape, chunk, embed, and store. However, it does not mention potential failure modes, authentication requirements, or whether the operation is idempotent.

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, front-loaded with the core action, no unnecessary detail. Every word adds value.

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?

Given the tool's simplicity (one parameter) and the presence of an output schema, the description fully covers the purpose, use case, and process. No gaps remain.

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

Parameters3/5

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

Schema coverage is 100% with a clear schema description for the sole parameter 'url'. The description adds context about the overall process but does not add parameter-specific semantics beyond the schema.

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?

Description clearly states the action ('Add a web page to the knowledge base') and the specific steps (scrape, chunk, embed, store). It distinguishes itself from siblings 'ask' and 'search' by mentioning that the added content enables future queries.

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?

Description explicitly says 'Use this to teach the system new source material before querying it,' providing clear when-to-use context. It does not explicitly mention when not to use or name alternatives, but the sibling tools are implied.

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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