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Glama

DevDome Analytics

verify_site

Verify ownership of a pending website (checks the installed snippet or DNS TXT record).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It clearly discloses the two verification methods (installed snippet or DNS TXT record) and restricts operation to pending websites. It does not describe failure outcomes or state changes, but the verification behavior itself is accurately and helpfully exposed.

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 entire description is one front-loaded sentence with a useful parenthetical method detail. There is no fluff, redundancy, or preamble.

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?

For a one-parameter verification tool, the description covers what, when, and roughly how. Missing are the result/success semantics, what happens if verification fails, and whether an already-verified site can be re-checked. These gaps matter because there is no output schema to fall back on.

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

Parameters2/5

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

Schema description coverage is 0% and the description never mentions the 'domain' parameter or its expected format. The agent is left to infer that 'domain' means the site being verified, with no guidance about whether to pass a bare domain, a URL, or a domain matching a previously added site.

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

Purpose5/5

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

The description uses a specific verb ('Verify') with a clear resource ('ownership of a pending website') and names the verification mechanism (snippet or DNS TXT record). This distinguishes it immediately from the sibling add_site and get_* tools.

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

Usage Guidelines4/5

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

The phrase 'pending website' gives clear context that this tool belongs to the site-verification workflow, coming after add_site and before tools that require confirmed sites. It does not explicitly name alternatives or exclusions, but the scope is evident.

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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TDQS

A3.6/5.0
Disambiguation5/5

Each tool targets a distinct resource or analytical view: site management (add/list/verify) is cleanly separated from analytics (stats, timeseries, visitors, realtime, bot report, breakdown, health). Even the traffic-related getters differ clearly by granularity and intent, so an agent is unlikely to confuse them.

Naming Consistency5/5

The naming follows a consistent verb_noun pattern: add_site, list_sites, verify_site, and all analytics tools use get_<noun>. This makes the toolset predictable and easy to navigate.

Tool Count5/5

Ten tools is well-scoped for an analytics product, covering both site administration and multiple data views without redundancy or bloat. Each tool earns its place in the API surface.

Completeness4/5

The core site lifecycle is covered (add, list, verify), and the analytics side is thorough with stats, timeseries, breakdown, realtime, visitors, bot reports, and health. Minor gaps exist, such as no remove/update site or deeper filtering options, but agents can complete typical workflows without dead ends.

Resources