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Plant Simulation Research Bridge

Plant Simulation Research Bridge

generate_simtalk

Generates SimTalk templates for Plant Simulation models, tables, dispatch logic, and result reporting, helping standardize experiment scripts and reduce manual coding.

Instructions

Generate model/table/dispatch/result SimTalk templates for Plant Simulation (NOT_VERIFIED).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "instance": "<instance>",
      "policy": "<policy>"
    },
    "name": "generate_simtalk"
  }
}

Input Schema

NameRequiredDescriptionDefault
policyYes
instanceYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden, yet it does not say whether templates are written to disk, returned as strings, or applied to an open model, nor whether the operation mutates simulation state. The dangling "(NOT_VERIFIED)" marker hints at a caveat but never explains what is unverified or how the agent should treat the output.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single front-loaded sentence with no filler, so nothing is wasted, but the brevity reflects under-specification rather than economy. The unexplained parenthetical consumes the only spare clause instead of adding usable information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a generation tool with two required, fully undocumented parameters, no annotations, and no output schema, an agent cannot tell what a valid call looks like or what it gets back. The description leaves the core ambiguities (output form, side effects, meaning of NOT_VERIFIED) unresolved.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for both required parameters, so the description must compensate and does not: neither "policy" nor "instance" is mentioned or explained. The phrase "for Plant Simulation" weakly implies instance refers to a simulation instance, but nothing is stated about the policy string's expected values or the object-vs-string shape of instance.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ("Generate") and resource (SimTalk templates) scoped to Plant Simulation, and enumerates the template categories (model/table/dispatch/result). It is clear what the tool produces, but it draws no boundary against siblings such as method_create or method_set_source, which plausibly overlap with code/template generation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool, when not to, or what to use instead. The sibling list contains several adjacent code-authoring tools (method_create, method_set_source, simulation_set_source), and the description offers no routing guidance among them.

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