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Povver — Strength Training

Check Connection

check_connection
Read-only

Verify the connection is working and get basic user info: display name, subscription status, selected language (locale), whether the user has an active routine, and whether they have logged workouts. Use this as a first call to confirm the integration is live and to discover the user's language for localized queries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNo
statusNo
user_nameNo
has_workoutsNo
subscriptionNo
has_active_routineNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true cutting off the main behavioral concernchers. The description adds context about what data is returned and its role as a first-call health check, but does not discuss failure modes, rate limits, or authentication behavior. With annotations present and output schema available, this is adequate but not exceptional.

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 sentences, with the core purpose front-loaded and the field list compactly integrated. The follow-up 'first call' guidance earns its place by adding operational 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 zero-parameter, read-only tool with an output schema, the description fully covers what the tool doesholistic, when to invoke it, and why the returned locale matters. There is no missing information an agent would need to select and call it correctly.

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 parameterswing with 100% schema coverage, so there are no parameter semantics to explain. Baseline 4 applies because nothing additional is needed.

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 names a specific verb ('Verify') and resource ('the connection'), and immediately enumerates the exact user information returned (display name, subscription status, locale, active routine, logged workouts). It clearly differentiates itself as the integration health-check tool among siblings by framing itself as the first call.

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 explicitly states when to use it: 'Use this as a first call to confirm the integration is live' and to discover the locale for localized queries. It does not explicitly list when-not-to-use or alternative sibling tools, but the primary use case 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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