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NoeCalle

OpenDSS MCP Server

by NoeCalle

ejecutar_flujo_pandapower

Runs a pandapower power-flow calculation for electrical distribution models within an experimental scope, returning rejection and compatibility codes for unsupported elements.

Instructions

Resuelve explícitamente con pandapower dentro del alcance experimental v1.

No compara contra OpenDSS, no selecciona motores automáticamente y no modifica la solución base del workspace. Si el modelo contiene elementos todavía no soportados, devuelve el rechazo y sus códigos de compatibilidad.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior4/5

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

No annotations are provided, so this description carries the full behavioral burden. It discloses key side-effect constraints (does not modify the base workspace solution) and failure behavior (returns rejection with compatibility codes for unsupported elements), though it does not cover idempotency or auth/rate limits.

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

Conciseness5/5

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

Three short sentences are front-loaded: purpose/scope first, constraints second, failure behavior last. Every sentence adds information and there is no filler.

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?

For a parameterless execution tool with no output schema, the description covers scope, exclusions, and failure behavior well enough. It could be richer about prerequisites or the successful result, but no output schema exists to require that.

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 has no parameters, so there are no parameter semantics to document. Per the rubric, a zero-parameter schema sets the baseline at 4.

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 action (resolve with pandapower) and scopes it to experimental v1, so the engine and mode are clear. It does not distinguish this from sibling flow tools such as ejecutar_flujo_potencia; it only mentions a non-sibling alternative (OpenDSS).

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

Usage Guidelines4/5

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

Gives clear context (experimental v1, explicit pandapower) and several when-not constraints: no OpenDSS comparison, no automatic motor selection, no modification of the workspace base solution. It does not name the sibling tool to use instead when those constraints do not apply.

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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