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Taste Overlap

Server Details

Plans a shared evening for two people: places both would enjoy, ranked by Qloo's taste graph.

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Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-06-18
URL
Repository
Sooonic008/taste-overlap
GitHub Stars
0
Server Listing
taste-overlap

TDQS

A3.9/5.0

Scored across 1 tool

Disambiguation5/5

There is only one tool, so there is no possibility of misselection or overlapping boundaries. Its purpose is stated precisely enough that an agent knows exactly when to call it.

Naming Consistency5/5

The single tool uses a clean snake_case verb_noun pattern (plan_shared_evening) that is fully self-descriptive. With only one name there is no inconsistency to speak of.

Tool Count2/5

A single tool is thin for a domain that clearly involves several sub-operations (per-person taste lookups, combined overlap, ranked venue selection). Everything is bundled into one opaque call, leaving no granularity for the agent to compose.

Completeness2/5

The surface covers exactly one workflow with no supporting operations: no way to inspect an individual's taste profile, no way to rerun or expand results, and no options for group size beyond two. Agents hit a dead end after the first call.

Available Tools

1 tool
plan_shared_eveningPlan a shared evening (Qloo taste overlap)AInspect

Given a city and a few favourites for each of two people (artists, films, shows, books, brands), returns up to six places both would enjoy, ranked by Qloo's taste graph, each with the reason and in evening order (something to do, food, a drink). Picks marked basis=combined come from Qloo's list for the combined taste because the two personal top-20 lists did not overlap enough.

ParametersJSON Schema
NameRequiredDescriptionDefault
cityYesCity, e.g. Vienna
person_aYesFavourites of person A
person_bYesFavourites of person B

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and delivers real behavioral detail: results come from Qloo's taste graph, the cap is six, each pick carries a reason, results are sequenced for an evening (activity, food, drink), and basis=combined is explained as a fallback when the two personal top-20 lists under-overlap. It stops short of disclosing latency, auth, or failure modes for an unknown city.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the input contract before the output semantics, and every clause adds usable information (count, ranking, reason, ordering, fallback basis). It is dense and slightly run-on, but there is no filler to cut.

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?

With no output schema and no annotations, the description fully covers the return contract (six places, reason per place, evening order) and the ranking/fallback logic behind it. Only edge behavior — e.g. what happens for an unrecognized city or how ties are broken — is left unaddressed.

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 3 is the baseline, but the description adds genuine meaning beyond the schema's generic 'Favourites of person A': it enumerates acceptable favourite types (artists, films, shows, books, brands) and clarifies the input is 'a few' per person, matching the maxItems=5 constraint.

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 names a specific verb and resource ('returns up to six places both would enjoy') and fully specifies the output shape: count, ranking source, per-item reason, and evening ordering. It is impossible to confuse this with anything else, and no sibling tool needs to be named.

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?

Usage is only implied by the input contract ('Given a city and a few favourites for each of two people'), which tells the agent the required context but gives no explicit when-to-use, when-not-to-use, or alternative tools. With no siblings listed there is nothing to route against, so this is adequate rather than strong.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedplan_shared_evening

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