urlscan_search
Search urlscan.io scan results using custom queries to identify suspicious URLs, IPs, or domains.
Instructions
Search urlscan.io scan results.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | ||
| size | No | ||
| api_key | No |
Search urlscan.io scan results using custom queries to identify suspicious URLs, IPs, or domains.
Search urlscan.io scan results.
| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | ||
| size | No | ||
| api_key | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behaviors but only says 'Search urlscan.io scan results.' Omits authentication needs, pagination, or rate limits.
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?
Extremely concise (5 words), but lacks structure or front-loading of critical usage details.
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?
Inadequate for a tool with three parameters and no output schema; does not explain behavior, return format, or authentication.
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 coverage is 0%, and the description adds no meaning for the three parameters (q, size, api_key), leaving their purpose entirely to inference.
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 action (search) and the resource (urlscan.io scan results), but it does not distinguish from sibling tools like urlscan_get_result or urlscan_scan.
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; no mentions of prerequisites or context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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