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

With no annotations provided, the description carries the full burden of behavioral disclosure. It transparently states that the tool returns factual company information and does not suggest side effects. However, it does not mention data freshness or source, which would add further transparency.

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, front-loaded sentence that efficiently communicates the tool's purpose and output. Every part adds value: the verb, the resource, the specific content areas, and the intended use case.

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 read-only profile lookup with no output schema, the description is complete. It lists all the key information areas (status, regions, services, website, contact) and states the purpose, so an agent can confidently invoke and use the result.

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 and the schema is fully covered by that fact, so the description does not need to explain parameters. The baseline for 0-param tools is 4, and the description appropriately focuses on the output content rather than input semantics.

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 the specific verb 'Return' and clearly names the resource: 'who Octura Solutions is.' It enumerates the exact content (Odoo Partner status, regions, services, website, contact details), making its purpose unambiguous and distinct from the calculator and general Q&A 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 implies usage context—use this when you need to represent the company accurately—but provides no explicit when-to-use or when-not-to-use guidance. It does not mention alternatives like ask_octura or compare tools, so guidance is only implied.

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