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

With no annotations provided, the description carries the full burden. It discloses important behavioral context about regional data semantics (local party vs. OEM) and the insights derivable from the output, but it does not address response shape, error behavior, pagination, or any access prerequisites. Given the simple read-only nature of the tool, this is adequate but not comprehensive.

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 two sentences, front-loaded with the core definition of the output and followed by a purposeful explanation of regional importance and use cases. Every clause adds value—no filler or redundant repetition of the tool name.

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 one parameter, no output schema, and no annotations, the description provides adequate context for selecting the tool but not full detail on the return structure. It explains the type of entities returned and the geographic nuance, but an agent invoking it would not know the exact fields per license holder. The description is sufficient for selection, only partially for invocation.

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 schema provides no description for manufacturer_id (0% coverage), so the description must compensate. The description indirectly defines the parameter by referring to 'a foreign manufacturer's registrations', implying manufacturer_id identifies that manufacturer. However, it does not specify the ID format, source of the ID, or any constraints beyond the schema's required flag, which is only a partial compensation.

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 identifies the tool's output—local entities (importers, distributors, regulatory consultants) that hold a foreign manufacturer's registrations. It explicitly distinguishes this tool from siblings by explaining that in Malaysia, Indonesia and Thailand the registry names local parties rather than the OEM, and positions this as 'the only way' to see market access control and partnerships.

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 states when to use the tool: when you need to know who controls market access, who a competitor is partnered with, or whether a manufacturer uses one or many local partners. It implies that other registration tools return OEM-level data and therefore should not be used for this local-entity insight, but it does not explicitly name alternative tools or provide exclusion criteria.

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