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Read-onlyIdempotent

Check that the MCP server is alive and see its configuration, including API base URL and API key status, with no API call required.

Instructions

Check that the FlashLearn MCP server is alive and see how it is configured (API base URL and whether an API key is set). Makes no API call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
serverYes
apiBaseYes
versionYes
apiKeyConfiguredYes
Behavior5/5

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

The description adds context beyond the readOnlyHint and idempotentHint annotations by explicitly stating 'Makes no API call' and describing what configuration details are visible (API base URL, API key presence). This fully discloses the tool's behavior and side-effect-free nature, leaving no ambiguity.

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 two sentences, front-loaded with the primary purpose, and every phrase earns its place. It avoids redundancy and is appropriately sized for the tool's simplicity.

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 simple health-check tool with no parameters, an output schema, and annotations covering safety, the description provides complete context. It explains what the tool does, what it returns (configuration details), and confirms it makes no API call. No additional information is needed for an agent to use 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 parameters, and the description correctly does not attempt to add parameter details. Per the rubric, 0 parameters earns a baseline of 4. The schema already has full coverage (100%) with an empty parameter list, so no further explanation 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 uses a specific verb ('Check') and clearly identifies the resource (FlashLearn MCP server) and the two pieces of information retrieved (API base URL and API key status). It is immediately distinguishable from sibling tools like list_sets or generate_cards, which focus on data operations rather than server health/configuration.

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 implies usage for verifying server liveness and configuration, which is a reasonable and clear context. It does not explicitly mention alternatives or exclusions, but no sibling tool serves the same purpose, so the absence of explicit when-not-to-use guidance is acceptable. A slight improvement would be stating 'use before other calls to confirm connectivity,' but the current wording is sufficient.

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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