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dewhush
by dewhush

Tech Detect

tech_detect

Detect web technologies behind a URL to reveal servers, frameworks, and CMS used by a target during reconnaissance.

Instructions

Fingerprint web technology behind a URL (httpx tech-detect).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesTarget URL, e.g. "https://example.com".
from_tokenNoOptional scan_token from an earlier call.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it adds almost nothing: it does not state that it actively connects to and fetches the target URL, does not confirm it is read-only/non-destructive, and gives no hints about rate limits, timeouts, or failure modes. The output schema covers return values, but the operational profile is undocumented.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no waste and the core capability stated immediately. It is perhaps too terse for the tool's role, but there is no padding or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present and 100% parameter coverage, the structured data does much of the work, so the description is minimally viable. Still, for a network-touching tool with no annotations and three closely related sibling scanners, the absence of usage and behavioral guidance leaves meaningful gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both `url` and `from_token` are already explained in the schema, including that `from_token` is an optional scan_token from an earlier call. The description adds no extra parameter meaning, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

'Fingerprint web technology behind a URL' names a concrete verb (fingerprint) and resource (web tech stack at a URL), and the parenthetical '(httpx tech-detect)' anchors it to a known capability. However, it never distinguishes itself from siblings like http_probe or waf_detect, which an agent must disambiguate against.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use, when-not-to-use, or alternative routing guidance at all. An agent facing http_probe, waf_detect, and tech_detect has nothing in the description to decide between them.

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