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Fannon

u-he-preset-randomizer-mcp

search_presets

Find u-he presets by name, category, or author using fuzzy matching. Results show relevance scores.

Instructions

Search presets by name, category, or author using fuzzy matching. Returns matching presets with relevance scoring. Requires a synth to be selected first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return. Defaults to 20.
queryYesSearch query to match against preset names, categories, and authors (e.g., "bass", "pad", "fat")
Behavior3/5

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

With no annotations, the description carries the burden and adds fuzzy matching and relevance scoring, but does not disclose rate limits, auth needs, or any destructive behavior.

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?

Two sentences with clear, front-loaded content, no waste.

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?

Covers purpose, prerequisite, search method, and result type; lacks output structure details but is adequate for a search tool without output schema.

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

Parameters3/5

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

Schema coverage is 100%, so baseline is 3; the description adds context for fuzzy matching and relevance scoring but does not significantly extend parameter meaning beyond schema definitions.

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 states the verb 'Search', the resource 'presets', and the method 'fuzzy matching', clearly differentiating from siblings like 'filter_presets' or 'list_presets'.

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 gives a clear prerequisite ('Requires a synth to be selected first'), providing context for when to use, but lacks explicit exclusions or alternatives.

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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