add_from_url

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

The description discloses all behavioral aspects: mutating, outbound HTTP, internet access required, HTML stripping, markdown conversion, disk save, immediate indexing. This is thorough and compensates for the lack of annotations.

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

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

The description is well-structured with intro, behavior, Args, Returns, and Usage sections. It is slightly verbose but efficiently conveys all necessary information.

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

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

The description is complete: covers behavior, parameters, return value (JSON string with details), and usage context. It also mentions immediate searchability, leaving no ambiguity.

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

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

With 0% schema description coverage, the description fully explains each parameter: url requires HTTPS and public accessibility, category lists possible values, title is optional and auto-detected. This adds significant meaning beyond the schema.

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

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

The description clearly states the tool fetches content from a URL, converts to markdown, and adds to the knowledge base. It distinguishes itself from the sibling tool add_document by specifying when to use each.

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

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

Explicit usage guidance is provided: 'Use to ingest web content... Use add_document() instead when you already have text content.' This clearly tells when and when not to use the tool.

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