Skip to main content
Glama

Qomvia — agent-readiness score and agentic checkout

scan_website

Measure a website's AI-readiness now and return the score. Read-only HTTP requests only; a domain can be scanned once per hour and results become part of the public index.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesDomain or URL to measure

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It usefully discloses that only read-only HTTP requests are made, that there is a per-domain rate limit of once per hour, and that scan results are added to a public index. It does not mention authentication needs or error behavior, but for a simple read-only scan this is solid transparency.

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

Conciseness5/5

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

The description is two compact sentences with no waste. It front-loads the core action and result, then follows with operational constraints, making it easy for an agent to parse quickly.

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

Completeness4/5

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

For a low-complexity tool with one parameter, no output schema, and no annotations, the description covers the essential behavior: what it does, its read-only nature, rate limits, and the public-index side effect. It could add a bit more on expected latency or failure modes, but nothing critical is missing for correct invocation.

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 already documents the single 'domain' parameter at 100% coverage with the description 'Domain or URL to measure'. The tool description adds no additional meaning about the parameter format, accepted values, or handling of different input types, so the baseline of 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?

The description gives a specific verb ('Measure') and resource ('a website's AI-readiness') and states the immediate outcome ('return the score'). It is clear, but it does not name or distinguish itself from the sibling tool get_ai_readiness_score, leaving some ambiguity about when a scan is needed versus when a stored score can be retrieved.

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

Usage Guidelines3/5

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

The phrase 'now' and the rate-limit constraint ('once per hour') imply a fresh scan context, which gives some usage guidance. However, the description never explicitly states when to use this tool versus alternatives like get_ai_readiness_score or list_readiness_checks, so the guidance remains inferred rather than stated.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources