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BNDY MCP Server

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search_venue

Search the venue database by name and city to check for existing entries and avoid duplicates. Confidence score indicates match likelihood.

Instructions

Search for existing venues in BNDY database by name and city. Use this BEFORE creating a new venue to avoid duplicates. Confidence = (1 - levenshtein_distance/max_length) * 100. Thresholds: ≥90 high, ≥70 medium, <70 low.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesVenue name (e.g., "Murphys", "The Prince of Wales")
cityYesCity where venue is located (e.g., "Bury", "Congleton")
Behavior5/5

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

Despite no annotations, the description fully discloses the search behavior, including the confidence calculation formula and thresholds, which is beyond basic expectations.

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?

Three concise sentences: purpose, usage guidance, and behavioral details. No redundant information.

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 essential aspects for a 2-param search tool. However, it does not describe the return format or fields, which could be helpful given no output schema.

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%, but the description adds concrete examples for each parameter (e.g., 'Murphys', 'Bury'), which aids the agent in understanding expected values.

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 venues by name and city, and explicitly distinguishes it from 'create_venue' by advising to use it before creating to avoid duplicates.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use this BEFORE creating a new venue to avoid duplicates,' providing clear when-to-use guidance and implying alternatives (create_venue). The confidence thresholds also help the agent interpret results.

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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