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

With no output schema, the description carries the burden of describing results and does so concretely: per-service-node metrics, per-staff-group utilization, per-exit counts, plus a shareable link. It also discloses a real operational constraint (free plan: 8 nodes, 3 staff groups, 30 days, 1 run). It does not say what happens on an invalid model or whether runs are stored, but nothing contradicts the readOnly/idempotent=false 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?

Front-loaded with purpose, then returns, then limits, then alternatives — a sensible order. The returns enumeration is dense but justified given no output schema exists; nothing is padded, though the sentence could be tightened slightly.

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 deeply nested model spec with no output schema, the description covers purpose, return shape, plan limits and alternatives — the main things an agent needs. The remaining gap is the recommended pre-flight workflow (guide/validate before running) and error behavior, which are left implicit.

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?

Only one parameter and schema description coverage is 100%, with rich nested documentation of nodes, staff groups, distributions and give-up behavior. The description's free-plan caps (8 nodes, 3 groups, 30 days, 1 run) partially restate constraints already in the schema ('Free plan: at most 30', 'Free plan: 1'), so it adds little beyond the schema baseline.

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 (run) and resource (a QueueSim Cloud model), then defines what the resource is ('a multi-step queueing system built from nodes and staff groups') and the engine it executes on. It also explicitly contrasts with simulate_mmc and simulate_schedule 'for a single line', so an agent can distinguish it from the single-line simulators without opening a schema.

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?

Names two alternatives and the condition that selects them ('for a single line'), which is real routing guidance. What it omits is the upstream path: nothing here points the agent to queue_model_guide for building the model or check_queue_model for validating it before a run, which matters for a schema this intricate.

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