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TillMatthis

KURA Notes MCP Client

by TillMatthis

kura_search

Search KURA Notes using semantic queries to find relevant content based on meaning, with filtering by tags and content types.

Instructions

Perform semantic search across KURA Notes. Returns relevant notes based on the query with metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe search query for semantic search
limitNoMaximum number of results to return (default: 10)
contentTypeNoFilter by content type (e.g., 'text')
tagsNoComma-separated tags to filter by
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool returns relevant notes with metadata, but lacks details on permissions, rate limits, error handling, or whether it's read-only (implied but not explicit). For a search tool with zero annotation coverage, this is a significant gap in transparency.

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

Conciseness4/5

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

The description is a single, efficient sentence that front-loads the core purpose. It could be slightly more structured by explicitly mentioning it's a read operation, but it avoids redundancy and wastes no words.

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

Completeness3/5

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

Given the tool's moderate complexity (semantic search with 4 parameters), no annotations, and no output schema, the description is minimally adequate. It covers the basic action and return type but lacks details on output format, error cases, or integration with sibling tools, leaving clear gaps for an agent.

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?

The schema description coverage is 100%, so the schema already documents all four parameters thoroughly. The description adds no additional meaning beyond what the schema provides (e.g., no examples of query formats or tag usage). Baseline 3 is appropriate when the schema does the heavy lifting.

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 clearly states the action ('Perform semantic search') and resource ('across KURA Notes'), distinguishing it from siblings like create, delete, get, and list_recent. However, it doesn't specify the scope (e.g., all notes vs. recent) or differentiate from potential text-based search alternatives, keeping it from a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives like kura_list_recent or kura_get. It mentions semantic search but doesn't clarify if this is the primary search method or when to prefer it over other filtering options, leaving usage context implied at best.

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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