save_url

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

With no annotations, the description carries the full disclosure burden. It states the side effects (scrapes, chunks, indexes in Chroma, writes/updates a markdown file), explains the no-duplicate update behavior, and discloses the Playwright fallback path plus the flag that forces it.

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?

Two sentences with no filler. The core pipeline is front-loaded first, followed by the update behavior and the conditional render_js logic, so an agent can quickly parse the essential 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?

For a two-parameter side-effecting tool with an output schema, this is complete: it names target storage, the on-disk output location, update semantics, and the JS-rendering fallback. No critical invocation detail is missing.

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?

Even though schema description coverage is 0%, the description adds real meaning to render_js by explaining the normal fetch path, the fallback condition, and the forced direct path. The url parameter is self-explanatory from its type and the tool's stated purpose.

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 opens with a specific verb (Scrapea) and resource (una URL), then lists the concrete pipeline: chunking, indexing in Chroma, and creating/updating the .md file in knowledge/sources/. This clearly separates it from the file and knowledge sibling tools.

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?

It provides clear context: use this to save a URL into the knowledge base, and it can update an existing entry without duplicating. It does not explicitly name alternative sibling tools or give when-not-to-use guidance, but no direct sibling competes with this ingestion behavior.

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