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dadamonis

protonmail-mcp

by dadamonis

ping

Verify that the ProtonMail MCP server is running and responsive with a liveness check that returns "pong".

Instructions

Liveness check — returns "pong" if the server is running.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose the success behavior ('returns "pong" if the server is running') and implicitly frames this as a non-mutating check. However, it does not describe what happens when the server is not running, error behavior, or timeout semantics, which are relevant for a liveness probe.

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 a single sentence with the purpose front-loaded ('Liveness check') followed immediately by the expected return value. Every word earns its place, and there is no redundancy or filler.

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 zero-parameter liveness probe with an output schema, the core contract is covered: what the tool does and what success looks like. The main gaps are failure behavior and differentiation from sibling health-status tools, but these are relatively minor for such a simple operation.

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?

The tool has zero parameters and the input schema confirms an empty properties object. There is nothing for the description to add about parameter meaning or formats. The baseline of 4 applies here because no parameter documentation is needed.

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 clearly states a specific purpose: a liveness check that returns 'pong' when the server is running. The verb and expected result are unambiguous. However, it does not differentiate this tool from sibling tools such as check_health or bridge_status, which could have overlapping roles.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'Liveness check' implies the tool should be used to verify whether the server is running. But there is no explicit when-to-use guidance, no exclusion criteria, and no mention of alternatives like check_health or bridge_status. An agent would have to infer the appropriate context from the tool name and description alone.

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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