Skip to main content
Glama

search_resource_nodes

Find resource nodes in your Satisfactory world by resource, purity, or location. Choose grouped clusters, individual nodes, or nearest to a point.

Instructions

Resource nodes, in one of three modes.

  • fields (default) clusters nodes within 200 m and ranks by yield -- "where is there a lot of iron".

  • nodes lists one row per node, ranked by yield, with ids reusable as selectors.

  • nearest lists one row per node ranked by DISTANCE from near, with the distance shown -- "what is closest". Requires near.

sources is a list of selectors; locations union, filters intersect::

["north"]                          northern half of the map
["region:Northern Forest"]         one named region
["near:0,-2000,800"]               within 800 m of (0, -2000) metres
["grid:X3Y4"]                      one 1.024 km grid cell
["node:BP_ResourceNode26_99"]      one specific node
["north", "resource:Crude Oil"]    crude oil in the north
["bbox:-500,-2500,600,-1800"]      a rectangle, metres

near accepts a coordinate in metres, me for the player, or the name of a labelled factory -- "the nearest free coal to the coal powerplant" needs no coordinates. Giving near in any mode adds a distance column.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo
modeNofields | nodes | nearestfields
nearNoorigin for mode=nearest: 'x,y' in metres, 'me', or a factory name
saveNo
groupNodeprecated alias for mode
limitNomax rows (hard cap 25)
worldNo
purityNo
sourcesNo
resourceNo
only_freeNo
Behavior4/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It explains mode-specific behavior, that nearest requires `near`, how `sources` union/intersect logic works, and that providing `near` adds a distance column. It does not mention side effects or safety, but for a read-only search tool this is acceptable.

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 well-structured with bullet points and examples. Each sentence adds meaningful detail, and the content is front-loaded with the mode summary. It's informative without excessive verbosity.

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?

The description covers the main functionality (modes, selectors, near coordinate semantics) and key edge cases (e.g., nearest requires near, distance column added). However, it omits several parameters (`save`, `world`, `purity`, `only_free`, `group`) and does not describe return shape, which could leave an agent uncertain about certain options despite the schema.

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

Parameters5/5

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

Schema coverage is only 36%, so the description compensates extensively. It thoroughly explains `mode`, `near`, and `sources` with examples, and implicitly covers `resource` via the selector syntax. It lacks detail for `save`, `world`, `purity`, and `only_free`, but the core parameters are well documented beyond the schema.

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 identifies the tool as searching resource nodes and provides a breakdown of three distinct output modes (fields, nodes, nearest), each with a specific purpose and example. It distinguishes itself from sibling tools by focusing on resource-node discovery with location-based filtering.

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 explains when to use each mode (e.g., fields for finding high-yield clusters, nearest for proximity) and gives concrete selector examples. It doesn't explicitly name alternative tools or state exclusions, but the context is clear enough to guide selection among modes and parameters.

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/lukszi/SatisfactoryMCP'

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