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aptro

Superset MCP Integration

by aptro

superset_auth_check_token_validity

Verify authentication status by checking if the current access token is valid before making API calls to Apache Superset.

Instructions

Check if the current access token is still valid

Makes a request to the /api/v1/me/ endpoint to test if the current token is valid. Use this to verify authentication status before making other API calls.

Returns: A dictionary with token validity status and any error information

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains that the tool makes a request to '/api/v1/me/' to test token validity, which adds useful operational context. However, it lacks details on error handling, rate limits, or performance implications, leaving some behavioral aspects unspecified.

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 well-structured and concise, with three sentences that each serve a clear purpose: stating the tool's function, explaining the underlying mechanism, and providing usage guidance. There is no wasted text, and information is front-loaded effectively.

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?

Given the tool's low complexity (0 parameters, no output schema, no annotations), the description is mostly complete. It covers purpose, usage, and behavioral aspects adequately. However, it could be slightly enhanced by mentioning the return format more explicitly (e.g., structure of the dictionary) or potential error scenarios, though this is a minor gap.

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 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description appropriately does not discuss parameters, making it efficient. A baseline of 4 is applied since no parameters exist, and the description avoids unnecessary details.

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 clearly states the tool's purpose with a specific verb ('Check') and resource ('current access token'), and it distinguishes itself from siblings like 'superset_auth_authenticate_user' or 'superset_auth_refresh_token' by focusing on validation rather than creation or renewal. The phrase 'Check if the current access token is still valid' is precise and unambiguous.

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

Usage Guidelines5/5

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

The description provides explicit guidance on when to use this tool: 'Use this to verify authentication status before making other API calls.' This clearly indicates its role as a pre-flight check and distinguishes it from authentication or refresh tools, offering practical context for usage.

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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