embed_url

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

With no annotations, the description is the sole source of behavioral disclosure. It mentions scraping and saving to a new bucket but omits side effects like potential bucket creation, network dependencies, or whether existing data is affected.

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 relatively brief but slightly redundant with 'Scrape and embed a given URL' followed by a paraphrase. It includes structured Args and Returns sections, which aids parsing.

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 tool has significant gaps: the parameter mismatch alone prevents reliable invocation. It also lacks details about return values, error conditions, and the embedding concept, making it incomplete for complex scraping operations.

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?

The description declares a required 'url' argument, but the input schema specifies a required 'request' object. This mismatch confuses the agent about the exact parameter structure; the schema coverage is 0% and the description does not explain how the URL maps to the 'request' field.

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 clear verb-object pair 'Scrape and embed a given URL' and expands on the workflow (scrape pages, save to a new bucket, auto-embed). This distinguishes it from sibling tools like cloud_storage_upload_file and create_embeddings.

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?

No guidance is given on when to choose this tool over alternatives such as list_embedded_buckets or create_embeddings. The description only states what it does, not the intended context or exclusions.

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