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chrischall

untappd-mcp

by chrischall

Query cached check-ins with filters

untappd_cache_query
Read-onlyIdempotent

Query cached Untappd check-ins by brewery, style, rating, venue, or date range with sorting and limit. No API call; run untappd_sync_checkins first.

Instructions

Query a user's cached CHECK-INS by brewery, style, minimum rating, venue, and/or date range, with sorting and a limit — from the cache only, NO API call. Reflects the detailed check-ins table (venue/date), which for non-self accounts is only the recent window; for full coverage of which beers a user has had, use untappd_cache_has_had / not_had instead. Run untappd_sync_checkins first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort order (default recent first)
limitNoMax rows (1–200, default 25)
styleNoCase-insensitive substring match on beer style (e.g. "IPA")
venueNoCase-insensitive substring match on venue name
breweryNoCase-insensitive substring match on brewery name
date_toNoOnly check-ins on/before this date (YYYY-MM-DD, UTC)
usernameNoUntappd username. Omit to use your own configured account (UNTAPPD_USERNAME).
venue_idNoExact venue id
date_fromNoOnly check-ins on/after this date (YYYY-MM-DD, UTC)
brewery_idNoExact brewery id
min_ratingNoOnly check-ins you rated at least this (0–5)
Behavior5/5

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

Description adds context beyond readOnlyHint: cache-only nature, no API call, and difference in cache window for self vs. other accounts. No contradiction with annotations.

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, front-loaded with main purpose. Every sentence adds value with no redundancy.

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

Completeness5/5

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

For a query tool with no output schema, description explains what results reflect, data source limitations, and prerequisite sync. Adequately complete.

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 covers all 11 parameters with descriptions (100% coverage). Description lists filter categories but adds no new meaning beyond the schema. Baseline 3 is appropriate.

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?

Clearly states action (query), resource (cached check-ins), and filters (brewery, style, etc.). Distinguishes from sibling tools like untappd_cache_has_had/not_had.

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 states it is cache-only with no API call, explains cache limitations for non-self accounts, and advises running untappd_sync_checkins first. Also suggests alternative tools for full coverage.

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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