remove_custom_domainRemove a registered custom domain and all its subdomains; they stop serving immediately.
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | registered custom domain to remove, e.g. example.com |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / properties / domain / descriptionAdded value: +"registered custom domain to remove, e.g. example.com"Output schema / (root)Previous value: -nullNew value: +{
+ "$schema": "http://json-schema.org/draft-07/schema#",
+ "additionalProperties": false,
+ "properties": {
+ "result": {}
+ },
+ "required": [
+ "result"
+ ],
+ "type": "object"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds 'they stop serving immediately' beyond the destructiveHint annotation, but does not disclose other behavioral traits such as irreversibility, required permissions, or any side effects. The annotation already marks it as destructive, so the added value is moderate.
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 a single, concise sentence that front-loads the action and consequence. Every word contributes to understanding, with no redundancy or unnecessary elaboration.
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?
Given the tool's simplicity (1 parameter, annotations for destructiveness, output schema present), the description covers the key points: removal and immediate effect. It could mention prerequisites (domain must be registered) or confirm the scope, but it is sufficient for the tool's complexity.
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?
The schema already covers the 'domain' parameter fully (100% coverage). However, the description adds the semantic detail that the removal includes 'all its subdomains', which is not specified in the schema, providing additional context beyond the parameter definitions.
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 clearly states the action ('Remove') and the resource ('a registered custom domain and all its subdomains'), with a specific consequence ('they stop serving immediately'). It distinguishes from siblings like 'remove_domain' and 'check_custom_domain' by specifying 'custom domain' and including subdomains.
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?
No explicit guidance on when to use this tool versus alternatives (e.g., 'remove_domain', 'add_custom_domain'). The usage is implied by the name and description, but there are no when-to-use or when-not-to-use instructions.
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.
Many tools have overlapping purposes (e.g., add_domain, add_subdomain, add_custom_domain, add_sending_domain) or similar names like check_domain and check_custom_domain, which can confuse an agent. While descriptions help, the sheer number of closely related tools makes it difficult to consistently select the correct one.
Most tools follow a verb_noun pattern, but there are exceptions like 'read_thread' (instead of get_thread) and 'mark_thread_read' (verb_noun_verb). Prefixes like 'data_' are used inconsistently with other tools, but overall the naming is still readable.
With 103 tools, the server is extremely bloated. Even for a comprehensive platform, this count overwhelms any agent and makes the tool surface difficult to navigate. Many tools could be merged or are too granular.
The toolset covers a wide range of operations across sites, domains, email, marketplace, projects, contracts, and functions. While some updates (e.g., general contract editing) are missing, the surface is mostly comprehensive for the domain.