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Check this domain's email deliverability

check_deliverability
Read-onlyIdempotent

Check the DNS records that decide whether this mailbox's own domain is trusted by the servers it sends to: SPF, DKIM, DMARC and MX. Use it when the user asks why their mail goes to spam, why a recipient did not get something, or whether their domain is set up properly. It takes no arguments and ALWAYS checks the connected mailbox's own domain - it cannot look up anyone else's. Read the note on each result rather than reporting a bare tick or cross: a DMARC record set to p=none passes every checkbox and does nothing at all, and a DKIM key that could not be found may simply be published under a selector this check does not know. Never tell a user a record is missing when the result says the lookup FAILED - those mean opposite things.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the readOnlyHint/openWorldHint/idempotentHint annotations, the description adds critical behavioral context: the tool always checks the connected mailbox's own domain, takes no arguments, and requires interpreting each result's note rather than trusting a bare pass/fail. It also warns about DMARC p=none and DKIM selector edge cases, and distinguishes 'missing' from 'lookup FAILED'.

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 front-loaded with what the tool checks, then when to use it, then the interpretation caveats. Every sentence adds necessary behavioral or usage information, and the warning about interpreting notes is essential for correct invocation and result reporting.

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?

Given the zero-parameter schema, complete annotations, and absence of an output schema, the description covers all essential operational guidance: what is checked, when to use it, what cannot be done, and how to interpret results responsibly. An agent has everything needed to invoke it correctly and avoid common misinterpretations.

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

Parameters4/5

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

There are zero parameters, so per the baseline this dimension gets a 4. The description reinforces this by explicitly stating the tool takes no arguments and always targets the connected mailbox's domain, which prevents an agent from inventing a domain parameter.

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 ('Check the DNS records'), a specific resource (the connected mailbox's own domain), and the deciding records (SPF, DKIM, DMARC, MX). It also explicitly distinguishes the tool from any general domain-lookup tool by stating it cannot look up anyone else's domain.

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 description gives concrete trigger scenarios ('when the user asks why their mail goes to spam, why a recipient did not get something, or whether their domain is set up properly') and an exclusion ('cannot look up anyone else's'). It does not name specific sibling alternatives, but the usage context is clear enough for an agent to select this tool correctly.

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

A4/5.0
Disambiguation4/5

Most tools target clearly distinct actions, but there are several close pairs that require careful reading: check_bounces vs check_receipts, list_emails vs search_emails, and the send/reply/forward vs draft_email/draft_reply/draft_forward families. The descriptions are strong enough that a careful agent can disambiguate, but the boundaries are not always obvious from the tool names alone.

Naming Consistency5/5

Every tool uses a consistent snake_case verb_noun convention, such as check_bounces, list_mailboxes, send_email, and update_draft. Related operations use parallel forms like mark_read/mark_unread and flag_email/unflag_email, making the naming predictable and coherent.

Tool Count2/5

With 28 tools, this exceeds the 25+ threshold where a tool set starts to feel too heavy. Email is a broad domain and many tools are individually justified, but the surface could be consolidated, especially the draft_forward/draft_reply/draft_email and send_email/reply_email/forward_email variants.

Completeness4/5

The core email lifecycle is thoroughly covered: send, read, search, move, delete, drafts, replies, forwards, folders, flags, attachments, upload links, contacts, identities, deliverability, bounces, and receipts. The main gap is that permanent deletion is referenced as a separate operation but no such tool is actually provided, and contact/identity management is effectively read-only.

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