safe_mind_list_departments

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

With no annotations, the description carries the full burden, and it discloses only that these departments are the segmentation vocabulary. It does not state that this is a safe read, whether authentication is required, whether results are paginated, or what the returned records contain. For a zero-parameter read-only lookup the risk is low, so this is a modest but real gap.

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?

A single sentence that front-loads the verb and resource with no filler. Every clause earns its place, including the parenthetical synonym.

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 no-parameter list tool with no output schema and no annotations, the description covers what the tool returns at a conceptual level (the company's departments used for segmentation). Return shape, ordering, and empty-state behavior are unaddressed, but the complexity bar is very low.

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 there is nothing for the description to disambiguate; the baseline for a no-parameter tool is 4. The German synonym in the description is a small semantic bonus for matching domain vocabulary.

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 states a specific verb ('List') and resource ('company departments/areas'), plus a parenthetical German synonym (Tätigkeitsbereiche) that disambiguates the domain term. It is clearly distinct from the write-side sibling safe_mind_create_department, though it does not explicitly name siblings like safe_mind_list_locations to draw the line.

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 rather than stated: 'used for survey segmentation' tells the agent what the data feeds into, which hints at when it is relevant. There is no explicit when-to-use/when-not guidance and no mention of alternatives (e.g. safe_mind_list_locations, which is the parallel lookup for a different dimension).

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