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Service health

health
Read-only

Checks that the Mailgi API, its database and the mail server are up.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered; the description's added value is the disclosure that the check spans three distinct subsystems (API, database, mail server). It doesn't say whether the check is deep or shallow, whether failures are reported as errors or as status fields, or anything about latency/rate limits — relevant since a DB+SMTP probe can be slow.

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?

A single sentence with no filler, leading with the verb and immediately qualifying the scope. Nothing repeats the name or title verbatim in a wasteful way.

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 read-only probe the description covers what is checked and where, which is the core need. The one gap is return semantics: with no output schema and no statement about response shape, an agent can't tell whether a downed mail server surfaces as an error or as a field in a success payload.

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 takes zero parameters and the schema is an empty object, so there is nothing for the description to disambiguate. Baseline for a no-param tool applies, and the description correctly avoids inventing parameter discussion.

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?

States a specific verb ('Checks') and enumerates the exact resources covered: the API, its database, and the mail server. That scope detail clearly separates it from every sibling tool, none of which perform availability checks. It stops short of 5 only because it doesn't say what the check produces (an aggregate status vs. per-component results).

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?

Usage is implied rather than stated — an agent can infer this is the tool to call to verify the service is reachable, and no obvious alternative exists among the 60+ siblings. But there is no explicit 'use before X' or 'do not use for Y' guidance, so it sits at the implied-usage tier.

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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