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flexsim_attach_resource

Attach a resource to a requester in the FlexSim window backend, choosing exclusive or shared mode and optionally verifying the connection.

Instructions

Attach a resource to a requester (window backend only).

Runs contextdragconnection(requester, resource, "S") and checks the last
centerObjects entry. With mode=shared the same resource feeds N requesters
(exclusivity is not enforced, only reported).

Args:
    requester: object asking for the resource (e.g. Processor1).
    resource: resource object (e.g. Operator1).
    mode: exclusive or shared (default exclusive).
    verify: check centerObjects (default True).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and delivers real behavioral context: it names the underlying call (contextdragconnection), the centerObjects verification, the backend precondition, and the important caveat that in shared mode exclusivity is 'not enforced, only reported'. It omits error behavior and any permission/state prerequisites, keeping it short of a 5.

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?

Front-loads purpose in the first sentence, then a compact behavioral paragraph and a clean Args block. The implementation detail about contextdragconnection/centerObjects is borderline but earns its place by explaining the verify behavior.

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

Completeness4/5

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

An output schema exists, so return values need not be explained, and the description covers preconditions, all parameters, and key behavioral caveats for a mutation tool with no annotations. It stops short of a 5 only because error/state requirements (e.g. a loaded model) are not stated.

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?

Schema description coverage is 0%, so the description must compensate, and it does: it documents all four parameters (requester, resource, mode, verify), supplies example object names (Processor1, Operator1), states the default for mode, and clarifies what verify checks. Minor gap: mode's full semantics (exclusive vs shared effect) is only partially explained in the Args section versus the body.

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+resource ('Attach a resource to a requester') and adds a scope qualifier ('window backend only'), making the intent concrete. It does not, however, explicitly contrast with closely related siblings such as flexsim_connect_objects or flexsim_link_transporter, so sibling differentiation is left to inference.

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?

Implies usage through the 'window backend only' precondition and the shared-mode semantics, but gives no explicit when-to-use / when-not-to-use guidance and names no alternative sibling for the same task. Adequate context, but selection logic is left implicit.

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

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