generate_random_token

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

With no annotations, the description must fully disclose behavior, but it only states the action. It does not reveal whether the token is persisted, returned, or what side effects occur. The agent is left uninformed about the token's lifecycle or storage implications.

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 sentence, which is concise but at the expense of essential information. It omits critical details about the token's nature, return value, and parameter usage. True conciseness balances brevity with completeness, which is not achieved here.

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?

Given the absence of annotations, output schema, and rich context from sibling tools, the description is severely incomplete. It does not explain the token's purpose, behavior, or response format, making it insufficient for an AI agent to use 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?

The input schema has a single required parameter 'input' (an empty object) with 0% schema description coverage. The description adds no meaning about this parameter, leaving its purpose entirely unspecified. The agent cannot determine what to provide for 'input' or if it is truly 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 clearly states the tool's function: generate a random token in Metabase. It uses a specific verb and resource, making the core purpose understandable. However, it does not differentiate from sibling tools that also generate tokens (e.g., create_api_key, regenerate_api_key), lacking specificity about the token's domain or use case.

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?

No guidance is provided on when to use this tool versus alternatives. The description fails to mention prerequisites, context, or exclusions (e.g., whether this is for temporary tokens, authentication, or other purposes). Without this, an AI agent cannot effectively decide when to invoke this tool over others.

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