desk_get_all_departments

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

No annotations are provided, so the description carries full behavioral burden. It discloses prerequisites (read permissions), error recovery ('verify Desk product access and permissions'), and the response scope ('with supported entity types and configuration'), adding meaningful context beyond a simple 'Get all'.

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 concise and well-structured with clear section headers (Prerequisites, Next Steps, Workflow, Error Recovery). Every sentence adds value, and the main purpose is front-loaded.

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 output schema or annotations, the description covers purpose, prerequisites, workflow, and error handling. For a low-complexity list-read tool, it is complete enough for an agent to decide when to invoke it and what to expect.

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 schema coverage is trivially 100%. Per the guidelines, 0-param tools receive a baseline of 4; the description does not need to explain parameters, and it adds context about the response contents.

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 'Get all departments in Zoho Desk' with a specific verb and resource, and differentiates from sibling tools like desk_get_entity_fields by focusing on department discovery. It has a clear, specific purpose.

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 provides explicit next steps ('Use desk_get_entity_fields for entity analysis → desk_search_entities for records') and a workflow ('Department discovery → entity field analysis → ticket/contact operations'), giving clear context on when to use this tool. It lacks explicit exclusions but the workflow serves as a strong guide.

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