build_and_simulate

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

With no annotations, the description carries the behavioral burden. It discloses that the tool autonomously runs and error-corrects, supports multiple iterations, and returns stats plus a narrative. However, it omits side effects such as job creation, persistence, or whether it can modify the original spec/model, which matters for an autonomous operation.

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 summary sentence is front-loaded and informative, and the Args block is compact. Minor redundancy exists between 'full pipeline' and the detailed pipeline steps, but overall every element earns its place.

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 complex pipeline tool with no annotations, the description covers core inputs, outputs, and the autonomous fix behavior, and an output schema exists. Still, it does not clarify job lifecycle behavior, failure handling, or which circumstances call for this versus the separate build/simulate/fix siblings, so completeness is only partial.

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?

Schema description coverage is 0%, but the description fully compensates by explaining all three parameters: spec_json is a simulation spec JSON referencing get_spec_template, job_name defaults to the spec's model_name, and max_iters controls run/fix iterations. This is precisely the semantic guidance the schema lacks.

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 clearly states what the tool does: it builds a model from a spec (CAD import, mesh, physics), then runs and error-corrects it, returning build stats and a run narrative. This distinguishes it from siblings like build_model or run_simulation by positioning it as the full end-to-end pipeline.

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?

There is clear contextual signal that this is the 'full pipeline' tool, implying use it when you want building, simulation, and error-correction in one call. However, it does not explicitly name alternatives or state when not to use it, so the agent must infer the selection from sibling tool names.

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