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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so safety is covered structurally. The description adds meaningful context beyond that: it clarifies the output is pure text documentation and that invoking it performs no simulation. It does not discuss response length or how the guide content is chunked, which is the only remaining 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?

Two sentences, front-loaded with the content inventory followed by the call condition, and every clause earns its place. The node-type list is dense and slightly run-on, but it is useful scannable content rather than filler.

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, no-output-schema documentation tool, the description supplies everything needed to decide whether to call it and when in a sequence. There is no return value to explain and no inputs to disambiguate.

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 no parameter meaning for the description to supply and the baseline applies. Nothing is missing or misdescribed on this dimension.

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 names the specific resource (QueueSim Cloud model structure) and enumerates exactly what the guide covers: node types, staff groups, distributions, plan limits, and a worked example. It also states the scope limit ('Text only, no simulation'), which separates it cleanly from the simulation siblings.

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?

It gives an explicit trigger condition ('when the user's system has more than one step') and parenthetically lists the concrete shapes that satisfy it (multiple stations, shared staff, percent/type routing, priority customers, abandonment or blocking). It also names the ordering relative to two specific siblings, check_queue_model and run_queue_model.

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