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henrikogaard

Polvenn MCP Server

by henrikogaard

Beer watchlist

polvenn_watchlist

Add, remove, or list watchlist rules for breweries, styles, series, or keywords, and check for matching beer releases to get notified about new arrivals.

Instructions

Manage your beer watchlist. Track breweries, styles, series, or keywords to get notified about matching releases.

Args:

  • action ('add' | 'remove' | 'list' | 'check'): What to do

  • type ('brewery' | 'style' | 'series' | 'keyword'): Rule type (required for 'add')

  • value (string): What to watch for (required for 'add')

  • id (number): Entry ID to remove (required for 'remove')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoWatchlist entry ID (required for 'remove')
typeNoType of watch rule (required for 'add')
valueNoValue to watch for (required for 'add')
actionYesWatchlist action: add a rule, remove by ID, list all rules, or check for matches
Behavior4/5

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

With annotations already indicating readOnlyHint=false and openWorldHint=true, the description adds useful context by stating that the tool tracks rules and gets users notified about matching releases. It discloses the action variants but does not detail side effects of 'check' or removal consequences beyond the schema. The annotations cover safety; the description adds moderate behavioral context.

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 concise and well-structured: a clear one-sentence summary followed by a structured Args list. No wasted words, and the format makes the action-parameter relationships easy to scan.

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?

This multi-action tool has no output schema, so the description should ideally explain return values or side effects. It defines actions and their inputs but does not clarify what 'list' or 'check' return, nor whether 'check' triggers notifications immediately. Despite this gap, the description covers the core purpose and parameter dependencies well for the tool's moderate complexity.

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% with every parameter described, so the baseline is 3. The description's Args block restates the parameter conditions (e.g., 'required for add') but adds no new meaning beyond what the schema already provides. It is helpful grouping but not compensatory.

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 opens with 'Manage your beer watchlist', a specific verb and resource, and further specifies trackable entities (breweries, styles, series, keywords). This clearly differentiates it from sibling tools focused on store stock and beer search.

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 explains the available actions (add/remove/list/check) but provides no explicit guidance on when to prefer this tool over siblings like search_new_beers or check_store_stock. Usage context is implied through the watchlist domain, but no alternatives or exclusions are mentioned.

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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