embed_url

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 that scraping occurs, content is saved in a new bucket, and embedding is automatic, but lacks critical behavioral details: required permissions, rate limits, error handling, whether the operation is idempotent, or what happens if the URL is invalid. For a mutation tool with zero annotation coverage, this is insufficient.

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 appropriately sized and front-loaded: the first sentence states the core purpose, followed by elaboration and parameter/return details. However, the 'Args' and 'Returns' sections are somewhat redundant with the prose and could be integrated more seamlessly.

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 mutation tool with no annotations, 0% schema coverage, no output schema, and nested input objects, the description is incomplete. It misses behavioral transparency (e.g., side effects, auth needs), parameter details beyond 'url', and output specifics. The return statement is vague ('Response data containing bucket information'), leaving gaps for agent invocation.

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?

Schema description coverage is 0%, with 1 parameter ('request') documented only as an object with no properties. The description adds value by specifying 'url' as a required argument, but this contradicts the schema's 'request' parameter. It doesn't explain the 'request' object's structure or other possible parameters, failing to compensate for the coverage gap.

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's purpose: 'Scrape and embed a given URL' with specific verbs (scrape, embed) and resource (URL). It distinguishes from sibling tools like 'create_embeddings' or 'list_embedded_buckets' by focusing on URL-specific scraping and embedding. However, it doesn't explicitly differentiate from potential similar tools not in the sibling list.

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 on when to use this tool versus alternatives is provided. The description doesn't mention prerequisites, limitations (e.g., website types, size limits), or compare with siblings like 'create_embeddings' or 'cloud_storage_upload_file'. Usage context is implied but not explicit.

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