FlexSim MCP Server

get_target

Retrieves the currently locked model instance to ensure read, write, run, and handler operations target the correct model; verify it before performing actions.

Instructions

读取当前锁定的模型实例。所有读取、写入、运行和 handler 操作都会作用于这个目标；操作前必须检查。

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_target"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.2Nov 7, 2026

TDQS

A3.5/5.0

Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses that all read, write, run and handler operations are scoped to this target — valuable global-state context an agent would not otherwise know. It omits failure behavior when no target exists and whether the returned instance can change between calls.

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

Conciseness4/5

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

Two short sentences, front-loaded with the core action and followed by the operational consequence. No filler, though the second clause could be slightly more directive about ordering (call this first).

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

Completeness3/5

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

For a zero-parameter, read-only lookup with no output schema, the description should say what the return conveys (e.g., the current model identity) and how the no-target state is reported. It covers the cross-tool semantics well but leaves the return and edge case unspecified.

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

Parameters4/5

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

The tool takes zero parameters, so the baseline is 4. There is nothing about parameters that the description needs to compensate for.

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 and resource: read the currently locked/selected model instance. It is distinguishable from select_target, which presumably changes the target rather than reading it, though the description does not name that sibling explicitly.

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

Usage Guidelines3/5

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

"操作前必须检查" gives implied usage guidance (call this before acting), which is a real precondition workflow. However, it does not say what to do when no target is locked, nor does it point to select_target as the remedy — the alternative is only inferable from the sibling list.

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