Skip to main content
Glama

Set Catch-All

set_catch_all

Route any email sent to an unmatched address on a domain into a designated mailbox. Anything that does not match a mailbox, subaddress, or alias lands in the catch-all. The mailbox must already exist on the domain. API: PUT /api/domains/{domain}/email/catch-all.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesDomain to set the catch-all on, e.g. mysite.com
mailboxYesCatch-all mailbox - a bare slug ('inbox') or full address ('inbox@mysite.com') on this domain

Schema Changelog

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

  1. Added

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It clarifies the routing behavior and prerequisite, but does not disclose side effects like whether an existing catch-all is overwritten or what errors occur. Lacks depth on potential mutations and edge cases.

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?

Three concise sentences, front-loaded with the main action. Each sentence adds unique value: action, scope, and prerequisite/API endpoint. No waste.

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 simple two-parameter tool with no output schema, the description covers the core usage well. It includes the API endpoint and prerequisite. Missing some behavioral details (e.g., overwrite behavior) but overall adequate for the tool's complexity.

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 coverage is 100% with both parameters fully described (domain example, mailbox formats). The description adds minimal extra value beyond the schema, mostly restating the prerequisite. Baseline of 3 is appropriate.

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 states a specific action ('Route any email sent to an unmatched address on a domain into a designated mailbox') with a clear resource (catch-all on a domain). It distinguishes from siblings like clear_catch_all and other email tools by defining the exact scope of unmatched addresses.

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?

Provides clear context about when this applies: 'Anything that does not match a mailbox, subaddress, or alias lands in the catch-all.' It also notes a prerequisite (mailbox must already exist). However, it does not explicitly mention alternatives or when not to use it.

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.

TDQS

A3.5/5.0
Disambiguation3/5

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.

Naming Consistency3/5

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.

Tool Count1/5

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.

Completeness4/5

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.