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Proxy Mail QA

Save a new test password

set_password
Destructive

Saves the password a test account uses now, replacing the one saved on the address before: after testing a password change or reset in the app under test, or when a sign-up form needed a different one. Leave password out to generate a strong one (16 characters), returned once in this result. Only for the test account's password in the app under test, never a real person's.

Input Schema

NameRequiredDescriptionDefault
labelNoWhich saved secret, such as password or pin.password
addressYesA test address in this project. A variant works too (capitals, or a +tag such as name+o'brien@…): it acts on the plain address, and a wait on a +tag variant only finds mail sent to it.
passwordNoThe password the test account now uses. Left out, one is generated.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false, so the mutation profile is known. The description adds real value beyond that: it explains the prior saved value is replaced, that omitting the password generates a 16-character one, and that the generated value is returned only once — a critical one-shot disclosure the annotations do not convey.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the core action and scope in the first sentence, then covers the generation fallback and the safety boundary. Slightly wordy with some restatement of the replacement behavior, but every sentence carries usable information.

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 3-parameter mutation tool with no output schema, the description covers what is written, what is overwritten, the generation fallback, and the one-time return of a generated value. Only minor gaps remain (e.g., what happens if the address does not exist), so it is nearly complete.

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%, so the schema already documents label, address, and password, including the +tag variant behavior. The description only adds the 16-character length for the generated password and restates the omission behavior, which is a modest increment over structured data — baseline 3.

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?

States a specific verb and resource — saves/replaces the password for a test account address — and clarifies the scope ('the test account's password in the app under test, never a real person's'). An agent can distinguish this from address/account siblings like create_address or check_out_account without opening the schema.

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?

Gives concrete triggers for when to use it ('after testing a password change or reset in the app under test, or when a sign-up form needed a different one') and a clear scope exclusion (never a real person's password). It stops short of naming an alternative tool or explicit when-not conditions, so it is clear context rather than full routing.

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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Listed in ChatGPT · Proxy Mail QA

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