Search Technologies
search_technologiesSearch technologies (paginated).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No | ||
| page | No | ||
| limit | No | ||
| category | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
search_technologiesSearch technologies (paginated).
| Name | Required | Description | Default |
|---|---|---|---|
| q | No | ||
| page | No | ||
| limit | No | ||
| category | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish read-only, idempotent, and non-destructive behavior. The description only adds 'paginated,' which is also inferable from the page/limit parameters, so it adds no meaningful behavioral context.
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 very short and front-loaded, but it is under-specified. It lacks enough content to be considered appropriately sized for a tool with four parameters and many siblings.
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 four parameters, no schema descriptions, and a large sibling set, but the description provides no context about filtering, result behavior, or how it differs from related tools. The output schema exists but cannot compensate for the missing 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?
Schema description coverage is 0%, and the description does not mention any parameters (q, category, page, limit). The description fails to compensate for the lack of schema-level explanations.
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 'Search technologies (paginated)' has a verb and resource, but 'technologies' is vague—it doesn't specify what kind of technologies or what a 'search' returns. It doesn't differentiate from siblings like 'search_cpe' or 'get_technologies_by_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 instead of the many sibling search tools. The pagination hint is too trivial to count as usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools overlap in purpose, particularly the JS fingerprint search functions (e.g., search_js_fingerprint_by_md5 and search_jsfingerprints_by_md5) which are nearly identical. The large number of get_* and search_* tools for various statistics also creates boundary ambiguity.
The verb_noun pattern is mostly followed, but there are significant inconsistencies: 'jsfingerprints' vs 'js_fingerprints' vs 'js_fingerprint', and the occasional use of 'find' instead of 'search' (e.g., find_js_fingerprint_similar_by_hash). This mixed style makes it hard to predict tool names.
With 128 tools, the server is severely over-scoped. Many tools could be combined (e.g., all search_jsfingerprints_by_* variants) or parameterized. The sheer number overwhelms an agent and suggests poor API design.
The core URL scanning workflow (submit, retrieve results, search, analyze) is well covered, including detailed sub-analyses like malware, YARA, and JS fingerprints. Minor gaps include no scan cancellation or user-specific scan listing, but overall coverage is strong.