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NoeCalle

OpenDSS MCP Server

by NoeCalle

obtener_capacidades_motores

Returns a deterministic motor capabilities matrix for OpenDSS, pandapower, and MCP without executing studies, so you can plan simulations with known engine support.

Instructions

Devuelve la matriz determinista OpenDSS/pandapower/MCP sin ejecutar estudios.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that the tool does not execute studies and returns a deterministic matrix, which is useful context for a zero-parameter getter. However, it omits other behavioral traits such as authentication needs, side effects, or response format.

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?

A single efficient sentence with no wasted words. The core action and key constraint ('sin ejecutar estudios') are front-loaded, making it easy to parse.

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 getter with no output schema, the description should give at least a hint of what the returned matrix contains or its format. It mentions a 'matriz determinista' but does not explain the structure or contents, leaving the agent without essential return-value context.

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 zero parameters, so the baseline is 4. The schema trivially covers all (none) parameters, and the description adds no parameter details, but none are needed.

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 ('Devuelve') and resource ('matriz determinista OpenDSS/pandapower/MCP'), and adds a scope qualifier ('sin ejecutar estudios') that distinguishes it from execution-oriented siblings like ejecutar_flujo_potencia. However, it does not name a specific alternative sibling, so it falls short of the top score.

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?

No explicit guidance on when to use this tool versus alternatives. The phrase 'sin ejecutar estudios' implies a retrieval context, but there are no exclusions or named alternatives (e.g., obtener_estado_workspace vs ejecutar_flujo_potencia) to help an agent choose correctly.

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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