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

No annotations are provided, so the description carries the full burden. It transparently discloses the tool's interactive nature, the content of the panel (learning flow and ten actions), and the language-adaptive behavior. While it does not explicitly state 'read-only', the instructive nature of the tool is clear and no side effects are known.

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 lengthy but each element serves a purpose: it front-loads the main function, then provides trigger phrases for multilingual detection, and finally details the panel contents. However, the trigger phrase list is quite exhaustive and could be summarized, and the 'ANY question' phrasing adds ambiguity without necessity.

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?

Despite having no parameters and no output schema, the description fully covers what the tool does, its scope, the multilingual trigger mechanism, and the specific content of the panel. It gives the AI agent enough context to decide when to invoke this tool, and the sibling tools cover other topics. The minor 'ANY question' ambiguity is overshadowed by the overall completeness.

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 tool has zero parameters, so the description does not need to explain parameter behavior. Per the rubric, a baseline of 4 is appropriate when there are no parameters.

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 uses a specific verb ('Shows an interactive panel') and a clear resource (Makuri, a specific AI tutoring platform). It distinguishes from siblings by focusing on the platform's mechanics and content (learning flow, ten actions), as opposed to pricing, contact info, etc.

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 explicit trigger phrases in multiple languages and instructs to use this tool for ANY question about Makuri, with a clear directive not to rely on general knowledge. However, the phrase 'ANY question' is overbroad and could conflict with sibling tools like get_pricing_tiers or get_contact_info, which handle specific aspects not covered by the panel.

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