test_connection
Check connectivity to a Fronius solar inverter to ensure the server can retrieve real-time energy data.
Instructions
Test the connection to the Fronius device
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check connectivity to a Fronius solar inverter to ensure the server can retrieve real-time energy data.
Test the connection to the Fronius device
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full responsibility for disclosing behavior. It merely states 'Test the connection' but does not explain what the test involves, whether it performs a network call, what the return format is (e.g., boolean, status object), or how errors are handled. This lack of detail leaves the agent uncertain about the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, direct sentence that immediately communicates the tool's purpose. It is concise, front-loaded, and contains no filler or redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool, the description is adequate as a minimum viable explanation, but it lacks details about the outcome or return value. Since there is no output schema, the description should ideally state what the test returns (e.g., success/failure, connection status). This missing information prevents it from being fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the baseline is 4. The description does not need to add parameter semantics, and the input schema is empty. No additional explanation is required.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'Test' with the resource 'connection to the Fronius device', clearly distinguishing this tool from the sibling get_* tools that retrieve data. It directly states what the tool does without ambiguity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention that this is a health check to be run before other operations, nor does it reference any sibling tools. Usage is merely implied by the tool's name and description.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/huber/fronius-mcp-server'
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