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Get test email

get_test_email
Read-only

Read a test email's status: queued, sent, then what the provider reported. A failed one usually means the sender is not set up yet; get_send with its send_id shows why.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "test_email_id": "<test_email_id>"
    },
    "name": "get_test_email"
  }
}

Input Schema

NameRequiredDescriptionDefault
test_email_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Beyond the readOnlyHint/openWorldHint annotations, the description discloses the status lifecycle (queued → sent → provider result) and a domain-specific interpretation ('a failed one usually means the sender is not set up yet'), which is genuine added context. It does not mention polling behavior or how long a status may take to resolve, which keeps it from a 5.

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 short sentences, front-loaded with the returned states and followed immediately by the failure-diagnosis hint. Every clause carries information; nothing is redundant with the title or schema.

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 one-parameter, read-only lookup with no output schema, the description covers the returned states and the common failure meaning, which is most of what an agent needs. It leaves open the timing/asynchrony question (whether to poll until 'sent'), a minor gap for this complexity level.

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 0% for the single required test_email_id, and the description never mentions it, so the reader only infers the argument from the tool name. The parameter is a self-evident identifier and the surrounding state description adds some value, so this is adequate but not compensating for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Read') and resource ('a test email's status') and enumerates the states it returns (queued, sent, provider-reported outcome). It implicitly separates itself from get_send by framing that tool as the deeper diagnostic, though it does not name any other sibling explicitly.

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?

It gives a clear usage context: call this to see where a test email stands, and if it failed, escalate to get_send with the send_id. That is an explicit alternative and routing condition, though it never states when *not* to use this tool or that it should follow send_test_email.

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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