Run a traffic simulation and get cost

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It describes the tool as running a simulation and returning results, which implies no permanent side effects. However, it does not explicitly state that it is read-only or non-destructive, nor does it mention any potential resource intensity or limits. The description is adequate but leaves some behavioral aspects implicit.

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 consists of two concise sentences. The first sentence front-loads the action and key outputs, and the second sentence clearly states the use case. Every word earns its place, with no fluff or redundancy.

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?

Given the complexity of the tool (simulation over a graph with multiple traffic parameters), the description is somewhat brief. It does outline the main output categories (cost, latency, throughput, alerts), which is helpful, and there is no output schema to supplement. However, it does not explain how to interpret the output or any limitations (e.g., accuracy, underlying assumptions). The description meets the minimum requirements but leaves room for more detail.

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 input schema has 0% documented description coverage for parameters, meaning the description must compensate by explaining the meaning and structure of parameters. The description mentions 'architecture graph' and 'traffic level' but fails to explain the nested structure of the graph (nodes, edges) or the traffic object (rps, duration, pattern). Users would need to infer parameter meanings from names alone, which is insufficient for a complex tool with nested objects.

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 starts with a specific verb 'Run' and clearly identifies the resource (simulation engine over an architecture graph at a given traffic level). It enumerates outputs (monthly cost, latency percentiles, throughput, alerts) and directly addresses the user's core question. This distinguishes it from sibling tools like pinpole_build_architecture or pinpole_create_architecture, which focus on architecture creation rather than simulation.

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 explicitly states the purpose: 'Use to answer what will this cost / how will it perform.' This gives a clear when-to-use context. It doesn't explicitly state when not to use or list alternatives, but the sibling tools (e.g., pinpole_build_architecture) suggest that this tool is specifically for simulation, not for building or exporting. The guideline is effective but could be more comprehensive.

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