test_connection

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

Since no annotations are provided, the description carries the behavioral disclosure burden. It explains that the tool attempts to obtain an access_token and returns server information, which accurately implies a read-only connectivity check. It does not detail error behavior, but that is minor for this simple diagnostic operation.

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 only two concise sentences, with the core purpose front-loaded and a supporting detail following. Every sentence adds useful information with no repetition or filler.

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 diagnostic tool that has an output schema, the description fully explains the action taken and the intended use case. An agent has everything it needs to invoke and interpret this tool correctly.

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?

There are no parameters, so the description need not explain parameter semantics. The schema already documents the empty argument list with 100% coverage, so the baseline of 4 applies.

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 states a specific verb, '测试' (test), and a specific resource, the connection to 泛微 OA, and further clarifies the mechanism by attempting to obtain an access_token. This clearly distinguishes it from the data/workflow sibling tools.

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 gives clear context: use this to verify that the configuration is correct. It does not explicitly list alternatives or when not to use it, but the zero-parameter diagnostic purpose makes the appropriate usage obvious relative to the siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.