get_user_segments

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

The description goes well beyond the annotations by explaining that auth is injected server-side, calls are throttled under LearnWorlds' 30-per-10s cap, retries occur on 429/5xx, and non-2xx responses surface as tool errors with specific status meanings. This adds substantial behavioral context not present in annotations.

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 longer than average but well-structured with clear sections: behavior, returns, usage, and related tools. Each section adds meaningful information. Some redundancy exists with the annotations, but overall it is efficient and 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?

Even without an output schema, the description explains the return format as 'HTTP <status> followed by the LearnWorlds JSON response body' and details error behavior. For a zero-parameter read-only lookup, this is complete enough for an agent to call it correctly.

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 the input schema is complete and there is nothing to document. The description adds value by confirming the tool returns all user segments without filters. A baseline of 4 is appropriate for a no-parameter tool.

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 and resource: 'Get user segments' and 'Returns a list of all user segments in the school.' It clearly names the operation and scope. It also contrasts with write tools, though it does not explicitly differentiate from the similarly named sibling get_users_segment, which may be a singular variant.

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 gives explicit usage guidance: 'Use when: safe to call speculatively for lookups and reporting. Not for changing anything — use the matching 🟡 write tool.' It also lists related Users tools, helping an agent select among alternatives.

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