Skip to main content
Glama

run_full_simulation

Run hydraulic and water-quality simulations on EPANET network models, returning combined time-series results for pressures, flows, quality, and reaction rates.

Instructions

Run both hydraulic and water-quality simulations and return combined time-series results (pressures, flows, quality, reaction rates, etc.).

Args: network_id: Session id of the network to simulate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
network_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description bears full burden. It discloses that the tool runs both simulations and returns combined time-series results, which covers its core behavior. No mention of side effects or prerequisites, but the operation is straightforward.

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?

The description is extremely concise: one sentence for purpose, one for parameter. No wasted words, and the structure is clear.

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?

Given the tool's simplicity (one required parameter) and the existence of an output schema, the description is mostly complete. It lacks a note that the network must be loaded first, but this is implied by sibling tools.

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 coverage is 0%, so the description must add meaning. The description explains network_id as 'Session id of the network to simulate,' providing necessary context beyond the schema's title.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it runs both hydraulic and water-quality simulations and returns combined time-series results. This distinguishes it from sibling tools run_hydraulic_simulation and run_quality_simulation, which each handle only one aspect.

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?

The description implies usage for combined simulation needs, but does not explicitly state when to use this versus the separate simulation tools. However, the purpose is clear enough to infer correct usage.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Applied-Artificial-Intelligence-Eurecat/epanet-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server