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Glama

Create a disposable inbox

create_inbox

Create a disposable email inbox for receiving messages and verification codes. Get a temporary email address to use in sign-up forms, ready for other tools.

Instructions

Create a brand new disposable email inbox. The inbox is saved locally so the other tools can use it. Returns the full email address to use in sign-up forms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelNoOptional label to identify this inbox
providerNoProvider name (default: "mailtm", see the providers list). If the provider is down, another one is used automatically unless no_failover is set
no_failoverNoFail when the chosen provider is down instead of falling back to another one

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. It discloses that the inbox is created, saved locally, affects other tools, and returns the address. However, it doesn't mention provider failover behavior or any limits on creating multiple inboxes, which would add useful transparency beyond the basic creation side effect.

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?

Two tight sentences with no filler. The core action is front-loaded, and the second sentence provides essential side-effect and return-value context without redundancy.

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 creation tool with optional parameters and no output schema, the description covers the necessary facts: what is created, where it is stored, how it relates to sibling tools, and what the return value is. No critical information for correct invocation is missing.

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%, so the parameters are already fully documented in the schema. The description adds no parameter-specific meaning, but it doesn't need to; the baseline of 3 applies because the schema does the heavy lifting.

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 verb and resource: 'Create a brand new disposable email inbox.' It also clarifies the inbox is saved locally and returns the full email address, which distinguishes it clearly from sibling tools like list_messages and read_message.

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 clear context for when to use the tool: before other tools, to obtain an email address for sign-up forms. It doesn't explicitly list exclusions, but the sibling tools are distinct operations (listing, reading, waiting), so the usage context is unambiguous.

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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