validate_simulation_input

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

No annotations are provided, so the description carries the transparency burden. It discloses that it returns blocking errors and advisory warnings, which is useful. However, it does not mention side effects (or lack thereof), return format, or behavior on invalid input, leaving some gaps.

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 compact: two purpose sentences, one timing sentence, and a clear Args line. Every sentence adds value with no 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?

For a validation tool with a single parameter and clear return semantics (errors/warnings), the description is sufficiently complete. It could elaborate on the specific error types or scope, but the core information needed by an agent is present.

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 schema only defines 'content' as a string. The description adds 'Full text content of the simulation.input file', clarifying that it expects the file's entire text, not a path. With 0% schema coverage, this is a meaningful contribution.

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 uses a specific verb 'validate' and names the exact resource ('RASPA2 simulation.input file'), clearly distinguishing it from sibling tools that parse output or generate files. The scope is unambiguous.

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?

Explicitly states when to call ('always call this after generating simulation.input and before running simulate') and what it returns (errors vs warnings). Does not explicitly name alternatives, but the context is strong.

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