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gimp-mcp-studio
by Onru-Labs

get_gimp_info

Retrieves GIMP version, installation paths, plugins, configuration, and runtime details so AI assistants can understand the environment and troubleshoot setup issues.

Instructions

Get comprehensive information about the GIMP installation and environment.

Returns detailed information about GIMP that AI assistants need to understand the current environment, including:

  • GIMP version and build information

  • Installation paths and directories

  • Available plugins and procedures

  • System configuration

  • Runtime environment details

This information helps AI assistants provide better support and troubleshooting by understanding the specific GIMP setup they're working with.

Returns:

  • Dictionary containing comprehensive GIMP environment information

  • Raises exception if GIMP connection fails

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations at all, the description carries the full burden, and it does disclose one important behavior: it 'raises exception if GIMP connection fails,' which tells the agent this call can fail on a dead connection. However, it says nothing about cost/latency (the plugin and procedure enumeration could be large), side effects, or whether results are cached, so the behavioral picture is only partially covered.

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

Conciseness3/5

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

The bullet list is front-loaded and informative, but the separate 'Returns:' block largely restates the bullets ('Dictionary containing comprehensive GIMP environment information'), and the sentence about helping AI assistants troubleshoot is padding. Trimming the duplicate Returns block would make it tighter without losing meaning.

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 diagnostic tool with no annotations and no output schema, the description does the necessary work: it enumerates the categories of data returned and names the failure mode. The main remaining gap is not saying how large/expensive the returned payload is, which matters for a tool that lists plugins and procedures.

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 there is nothing for the description to disambiguate; baseline 4 applies. The description correctly frames this as a no-argument environment query.

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 and resource ('Get comprehensive information about the GIMP installation and environment') and enumerates the concrete content (version/build, install paths, plugins, system config, runtime). It does not explicitly differentiate itself from near-neighbors like check_server, get_state_snapshot, or get_context_state, so an agent must infer that this one is the static environment/config view rather than a connectivity or state probe.

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

Usage Guidelines3/5

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

Usage is only implied: the description says the information 'helps AI assistants provide better support and troubleshooting,' which is a rationale rather than a directive. There is no explicit 'call this before X' or 'use check_server instead if you only want to verify connectivity,' leaving the choice among several related diagnostic siblings to inference.

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