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sandipprajapatiinic

Website Intelligence MCP

analyze_technology

Analyze basic technology and platform signals for a public webpage by URL to reveal what frameworks, CMS, analytics, and hosting power the site.

Instructions

Analyze basic technology and platform signals

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden and does not meet it. It never says what signals are returned (CMS, frameworks, analytics, server), whether detection is best-effort, or what the output looks like. "Basic" hints at a limited scope but nothing more.

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 short, front-loaded sentence with no filler. It is efficiently written, though the brevity comes at the cost of substance rather than being genuinely economical.

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

Completeness2/5

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

No annotations, no output schema, no parameter documentation, and unresolved overlap with analyze_technical. For a tool in a large sibling family where disambiguation matters most, this is under-specified.

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?

The schema has 0% description coverage, so the description must compensate, and it does not mention the required url parameter at all. The single url (format: uri) is largely self-evident, which keeps this from being a 2, but no added meaning is provided.

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

Purpose3/5

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

The description gives a verb (analyze) and a loose resource ("technology and platform signals"), which is more than a restatement of the name. However, "basic technology and platform signals" is vague about what is actually detected, and it does nothing to distinguish this from close siblings like analyze_technical, analyze_performance, or analyze_security.

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 statement of when to use this tool versus any of the ~27 analyze_* siblings, particularly the near-identical analyze_technical. The agent must guess based on the name alone.

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