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flowency-live

BNDY MCP Server

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search_artist

Find artists in the BNDY database by name, with optional region filtering and confidence scoring based on name similarity.

Instructions

Search for existing artists in BNDY database by name. Pre-filters by name similarity, then scores by Levenshtein distance. Confidence = (1 - edit_distance/max_length) * 100.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesArtist name to search for
regionNoRegion filter (e.g., "North East", "Manchester"). Hard filter: only returns artists whose location contains this string (empty/unknown locations pass through).
limitNoMax results to return (default: 20, max: 50). Set to 0 for unlimited.
minConfidenceNoMinimum confidence threshold 0-100 (default: 50). Results below this are excluded.
Behavior4/5

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

Without annotations, the description carries full burden. It discloses pre-filtering by name similarity, Levenshtein distance scoring, and the confidence formula. This is good transparency, though it does not cover error handling or empty results.

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 two sentences with no fluff. It front-loads the purpose and efficiently adds algorithmic details. Every sentence earns its place.

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 no output schema, the description explains the search mechanism but does not describe the return format or fields. It is missing context about output structure, which would help the agent interpret results.

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?

Schema coverage is 100%, so baseline is 3. The description adds value by explaining the algorithm (pre-filtering, distance scoring) and confidence calculation, enhancing understanding of parameter usage beyond the schema.

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 clearly states the tool searches for existing artists by name, with specific verb and resource. It distinguishes from siblings like create_artist or list_artists by focusing on name-based search with similarity scoring.

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?

The description implies usage for finding artists by name but provides no explicit guidance on when to use this tool versus alternatives like list_artists or search_event. It does not mention exclusions or related tools.

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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