verify_connectionVerify that a provider connection is working by checking DNS propagation. Use after connect_domain to confirm records are live.
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | Domain to verify | |
| method | No | Method name if applicable | |
| target | No | Target for auto-detection, e.g. my-app.vercel.app | |
| provider | No | Provider name, e.g. vercel |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the mechanism (DNS propagation check) but does not state whether this is a read-only operation, potential delays due to propagation, or failure modes. The word 'verify' implies a non-mutating action, but more specifics would improve transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the primary purpose, and contains no filler words or redundant details. Every phrase adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 4 parameters and no output schema, the description explains what it does and when to use it. It lacks details about return values or edge cases, but the operation is simple and the description covers the essential context adequately.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the parameters are already well-documented in the schema. The description adds no additional meaning about parameter syntax, defaults, or relationships beyond what the schema provides. The baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Verify') and resource ('provider connection'), and clarifies the method ('by checking DNS propagation'). It also distinguishes itself from sibling tools like verify_import and verify_service by mentioning 'after connect_domain' to confirm records are live.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It explicitly states when to use: 'Use after connect_domain to confirm records are live.' This provides clear context. However, it does not explicitly exclude alternatives or mention when not to use it, though the guidance is sufficient for most scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
While most tools have distinct purposes, several clusters overlap significantly (e.g., check_email, check_email_deliverability, get_email_deliverability, get_domain_email_status; buy_domain, buy_aftermarket, acquire_domain). The descriptions are detailed and help differentiate, but the sheer number of tools makes it challenging for an agent to select the correct one without careful reading.
The dominant pattern is verb_noun with underscores (e.g., create_mailbox, list_domains), but there are notable inconsistencies: destructive actions mix delete/remove/cancel/revoke/unsell, and a few names deviate entirely (search, dns_check, domain_status). The pattern is recognizable but not uniformly applied.
With 122 tools, this vastly exceeds the 50+ threshold for extreme mismatch. Even for a comprehensive domain and email platform, the tool count is overwhelming and will likely hinder agent performance through excessive choice and context bloat.
The server covers a wide range of domains, DNS, email, marketplace, negotiations, transfers, webhooks, tokens, and billing. Minor gaps exist, such as no update operation for mail rules, no direct domain deletion, and limited mailbox configuration beyond forwarding and credentials, but most lifecycle workflows are supported.