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X1pheR

romm-mcp

create_smart_collection

Build a smart collection in RomM by defining filter criteria for tags, genres, platforms, and more to automatically gather matching ROMs.

Instructions

Create a smart collection from explicit RomM filter criteria.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
is_publicNo
descriptionNo
filter_criteriaYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
nameNo
is_publicNo
rom_countNo
created_atNo
updated_atNo
descriptionNo
is_favoriteNo
filter_summaryNo
owner_usernameNo
filter_criteriaNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.1

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already establish this as a mutating, non-idempotent create operation, so the description does not need to repeat that. However, it adds only a small scoping detail ('explicit RomM filter criteria') and does not disclose side effects, permissions, uniqueness behavior, or any post-create behavior. This is consistent with the annotations, so no contradiction, but the added behavioral context is minimal.

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 a single front-loaded sentence with no filler: it states the action, the resource, and the defining input in order. It is appropriately concise for a tool summary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite the output schema covering the return value, the overall definition is inadequate for a tool with this complexity. The large filter_criteria object has 0% schema description coverage, and the one-line description provides no guidance on constructing valid filters or choosing between similar collection tools. An agent would likely need external RomM knowledge to invoke this correctly.

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

Parameters2/5

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

Schema description coverage is 0% and the tool description does not explain any parameter semantics. The top-level parameter names are readable, and filter names like tags/genres are suggestive, but fields such as has_ra, matched, order_by, and the various *_logic combos remain opaque. The nested schema's note about RomM 5.1 filters provides some context but does not describe valid values or how criteria combine.

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 uses a clear verb ('Create') and names the exact resource ('smart collection'), and further specifies how it is created: 'from explicit RomM filter criteria.' This distinguishes it from static collection creation tools such as create_collection and from update_smart_collection.

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?

No explicit when-to-use or when-not-to-use guidance is provided. The phrase 'smart collection' implies the tool is for filter-based collections, but the description never names alternatives like create_collection or update_smart_collection, so an agent receives no routing guidance beyond the tool name.

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

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