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Glama
Factorio LLM Use
by Tsyklop

get_agent_status

Check the independent AI character’s current inventory, position, and action in Factorio to verify its status before planning or issuing commands.

Instructions

Read the independent AI character's actual inventory, position and action.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden; it does imply a read-only operation and signals that the data is the character's real state rather than an inferred one. It says nothing about side effects, staleness/latency, or whether reading is free of game-state consequences, which matters for a tool with no safety annotations.

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?

One short sentence with the resource list front-loaded and no filler. Every word contributes to identifying the data returned.

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 zero-parameter read tool with an output schema, the description covers the essentials: what is read and whose state it is. The remaining gap is routing guidance against the many status/world-inspection siblings, which the description does not address.

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 takes zero parameters, so the schema imposes nothing to explain and the description needn't disambiguate arguments. The description does usefully enumerate what the no-arg call returns (inventory, position, action).

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?

The description uses a specific verb ("Read") plus a concrete resource triple (inventory, position, action) scoped to the "independent AI character". That is clearer than a bare title, but it never names the overlapping siblings (get_action_status, observe, get_world), so an agent must infer the distinction.

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?

It states no when-to-use condition, no prerequisites, and no alternative tool to prefer for related data. The word "actual" hints at ground-truth state versus a self-report, but this is never spelled out, and several siblings clearly read overlapping state.

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