gemini_extract_from_url_tool

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

With no annotations, the description must carry the full burden of behavioral disclosure. 'Extract specific data from a URL' does not reveal what the extraction process does, whether it fetches and parses the page, what formats are supported, whether authentication is needed, or what side effects (if any) occur. This is a significant transparency gap.

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 a single short sentence with no filler or redundancy. However, brevity here comes from under-specification rather than efficient communication of necessary details. It is concise but not sufficiently informative.

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?

Given the tool has four parameters, one required, and no annotations, the sparse description is not complete enough. Users/agents cannot infer key facts like what 'custom_fields' accepts, how 'data_type' values map to output, which models are valid, or how this differs from gemini_analyze_url_tool. The output schema exists, but the description still needs to cover usage context.

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 schema has 100% parameter description coverage, so the schema itself documents each property clearly. The description adds nothing beyond the schema; it neither clarifies parameter relationships nor provides examples. Baseline 3 is appropriate since the schema does the heavy lifting.

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 states a clear verb+resource ('Extract specific data from a URL') but 'specific data' is vague and does not differentiate this tool from closely related siblings like gemini_analyze_url_tool, gemini_compare_urls_tool, or gemini_extract_tool. It gives a general sense of purpose but lacks specificity about what kinds of extraction are supported.

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 usage guidance is provided. The description does not explain when to use this tool versus the many similar sibling tools, nor does it mention prerequisites, limitations, or typical use cases. The only cue is the tool name itself, which is insufficient.

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