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

No annotations are provided, and the description is only a single phrase. It fails to disclose any behavioral traits such as read-only nature, authentication requirements, rate limits, or whether the status data is cached or live. The description does not add value beyond a minimal statement of purpose.

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 extremely concise—a single phrase with no unnecessary words. It front-loads the core purpose and is appropriate for a tool with no parameters and a simple action.

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 tool has no parameters and no output schema, the description minimally states the purpose. However, it lacks details about what the status output contains (e.g., a timestamp, a state enum, or a narrative). This is adequate for a simple indicator but incomplete for an agent expecting a structured response.

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 zero parameters, and schema coverage is 100%. The description implicitly confirms that no parameters are needed, which is adequate. No additional semantics are required since there are no inputs to explain.

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 returns the current status of a specific public AI marketing experiment, using a noun phrase that implies retrieval. The resource is uniquely identified (KI-Marketing-Experiment), distinguishing it from siblings which cover different concepts (Banai classification, glossary, etc.). However, the verb is implicit and could be more explicit.

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 its siblings. While the siblings have different purposes, the description does not mention any exclusion criteria, prerequisites, or alternative tools, leaving the agent to infer usage context.

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