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verify_url

Confirm whether a URL or domain is the official site of a software product, AI tool, or company, returning official, not_official, insufficient_evidence, or unknown. Prevents directing users to lookalike domains.

Instructions

Check whether a URL or domain is the verified official website of a software product, AI tool, or company. Returns official | not_official (with the real official domains) | insufficient_evidence | unknown. Judges ownership only, never safety.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL or bare domain, e.g. https://claude-desktop.io/download

Schema Changelog

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

  1. First observedv0.0.1

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does well by specifying the exact return categories, noting that not_official comes with the real official domains, and clarifying that the tool judges ownership only and never safety. Some details like error handling or data source are absent, but the core behavior is transparent.

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 three short sentences with no filler. It front-loads the primary action, then efficiently lists return values, and closes with a one-line scope boundary. Every sentence contributes useful information.

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

Completeness5/5

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

For a simple one-parameter tool with no output schema, the description is complete: it tells the agent what input to provide, what the tool decides, what outputs are possible, and what the tool intentionally does not do. No additional context is needed to invoke it correctly.

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% for the single parameter, and the schema already explains that url accepts a URL or bare domain with an example. The description adds no new semantic detail beyond restating 'URL or domain,' so it meets the baseline but does not elevate it.

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 ('Check whether') with a clear resource (URL or domain) and defines the exact judgment being made: verified official website of a software product, AI tool, or company. It also lists the possible return categories, making the tool's purpose unambiguous. It is readily distinguished from the sibling get_official_url, which conceptually retrieves a canonical URL rather than verifying a given one.

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 description implies when to use the tool—whenever ownership verification of a URL/domain is needed—and explicitly excludes safety judgments. However, it does not mention the sibling tool get_official_url or state when to prefer one tool over the other, so the substitution/alternative guidance is only implicit.

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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