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slavins-co

CellarTracker MCP

by slavins-co

consumption-history

Read-only

Search wines you've opened and drunk by name, color, or date range, returning recent consumptions with tasting context and pagination for more results.

Instructions

Search your consumption history — wines you've opened and drunk. Filter by wine name, color, or date range. Returns most recent consumptions first with tasting context, up to max_results per page (default 25) — pass offset to page through more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
colorNoFilter by color (Red, White, Rosé)
queryNoWine name search term
offsetNoResult offset for pagination (default 0)
date_toNoEnd date (YYYY-MM-DD)
date_fromNoStart date (YYYY-MM-DD)
max_resultsNoMaximum results (default 25)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowsYes
countYes
totalYes
offsetYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.5.1
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • changedOutput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observedv0.5.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful behavior: results are ordered most-recent-first, include tasting context, and page via max_results/offset. It does not discuss result caps or authentication, but the added context is solid.

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?

A single front-loaded sentence set: purpose first, filterable fields second, pagination and ordering last. No filler and nothing redundant with the schema.

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 read-only, filtered list tool with an output schema, the description covers the essentials: what it searches, how to filter, ordering, and pagination. Nothing needed to call it correctly is missing.

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 the baseline is 3. The description goes beyond it by explaining pagination mechanics — max_results per page with a default of 25 and offset for paging — which links two parameters semantically in a way the schema entries do not.

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?

States a specific verb (search) and resource (consumption history of wines opened/drunk), which cleanly separates it from siblings like purchase-history and search-cellar. An agent can identify the tool's domain without opening the schema.

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

Usage Guidelines4/5

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

The description gives clear usage context — filter by wine name, color, or date range — so the agent knows which dimensions it can slice by. It does not name an alternative tool or describe when *not* to use it, so it falls short of full explicit routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.