moldsim mcp

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

No annotations are provided, so the description carries the full burden. It discloses the scope of the knowledge base (troubleshooting, DFM rules, mesh guidelines, process parameters), but omits behavioral details like return format, result count limits, or whether results include citations/source references.

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?

Three sentences efficiently structured: (1) core action, (2) coverage scope, (3) usage context. Every sentence earns its place with no redundancy or generic 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?

Given the absence of annotations and output schema, the description adequately compensates by detailing the knowledge domains covered. It could be improved by noting the return type (e.g., articles, troubleshooting steps), but provides sufficient context for a search-oriented tool.

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 100% description coverage ('Your question...' and 'Additional context...'), establishing baseline 3. The description mentions the types of questions covered but does not add parameter-specific semantics, examples, or format constraints beyond the schema definitions.

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 opens with the specific action 'Search' and resource 'injection molding simulation knowledge base.' It clearly distinguishes from siblings by positioning itself as a general knowledge retrieval tool versus specific operations like 'compare,' 'generate,' 'get,' or 'validate' offered by sibling tools.

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 provides explicit usage guidance with 'Use for general questions about molding, simulation setup, or problem-solving,' indicating when to select this tool over more specialized siblings. However, it lacks explicit 'when not to use' exclusions or named alternatives.

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