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

The readOnlyHint annotation already establishes this is a safe read. The description adds the underlying HTTP endpoint, which is minor context, but says nothing about whether results are paginated, sorted, cached, or limited in size.

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?

Two short, front-loaded sentences with no filler. The endpoint reference is arguably redundant for an agent but costs little.

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 list with no output schema, the description is adequate but does not hint at the shape of returned department records (id, name, type) or result volume. An agent knows what to call but not quite what it will receive.

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 takes zero parameters, so the schema burden is nil and the baseline is 4. The description correctly implies no filtering inputs are needed by stating a plain list over /departments.

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?

States a specific verb+resource ('List departments') and clarifies the domain meaning as cost and profit centers, which an agent can map to accounting concepts. It is distinguishable from siblings only by resource name, without explicit differentiation from similar list tools like list_projects.

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?

Usage is implied by the list semantics, but there is no statement of when to use this versus other list tools (list_projects, list_charts) or what the results are typically needed for. No exclusions or prerequisites are given.

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