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Plant Simulation Research Bridge

Plant Simulation Research Bridge

method_get_source

Read a Method's SimTalk source in Plant Simulation to inspect or verify simulation logic before editing or running experiments.

Instructions

Read a Method's SimTalk source.

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": {
      "path": "<path>"
    },
    "name": "method_get_source"
  }
}

Input Schema

NameRequiredDescriptionDefault
pathYes
work_dirNo
model_rootNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are supplied, so the description bears the full burden. 'Read' implies a non-mutating operation, but the description does not confirm read-only behavior, state permission or model-context requirements, or say what happens if the path is wrong. That leaves significant behavioral gaps for an operation on a live simulation model.

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?

The single sentence is front-loaded and contains no filler, which is good. However, the brevity reflects under-specification rather than efficiency, given a 3-parameter tool with no annotations or output schema.

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 tool with three parameters, no annotations, no output schema, and a mutation-like sibling, the definition is too thin. An agent cannot tell what 'path' resolves against, what work_dir and model_root do, or what the returned source looks like.

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

Parameters1/5

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

Schema description coverage is 0% and the description mentions no parameters at all. Two of the three parameters (work_dir, model_root) are completely undocumented in both the schema and the description, and 'path' is unexplained as to whether it is a method path, a file path, or a namespaced identifier.

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?

States a specific verb ('Read') and resource ('a Method's SimTalk source'), which lets an agent distinguish it from method_set_source without opening the schema. It stops short of saying what 'SimTalk source' means or what the result looks like, so it is clear rather than rich.

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 when-to-use guidance, no mention of prerequisites (e.g. that the model must be open or the method must exist), and no pointer to a sibling such as method_set_source or model_object_info. The only implicit cue is the read/write contrast encoded in the name.

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