library
List Steam game folders or retrieve aggregate stats about your collection.
Instructions
List library folders or get aggregate stats
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| action | No | list |
List Steam game folders or retrieve aggregate stats about your collection.
List library folders or get aggregate stats
| Name | Required | Description | Default |
|---|---|---|---|
| action | No | list |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v2.0.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. The verbs 'list' and 'get' imply read-only behavior, but the description does not explicitly state non-mutation, output characteristics, or any external dependencies.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. Every word earns its place, and the two modes are stated efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool, the description covers the core modes, but 'aggregate stats' is vague and there is no output schema to clarify return values. An agent can invoke it, but may not know what stats are included or how the result is structured.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description compensates by explaining the two enum actions in natural language: 'list' maps to listing library folders and 'stats' maps to getting aggregate stats. This adds meaning beyond the raw enum values.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear verb and resource: 'List library folders or get aggregate stats.' It identifies two distinct operations, but does not explicitly distinguish this tool from overlapping siblings like 'storage' or 'insights.'
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The usage context is implied by the described operations: an agent would use this when it needs library folders or aggregate stats. However, it gives no guidance on when to choose this over sibling tools, and no exclusions or alternatives are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Praeses0/steam-mcp'
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