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jbeker

Foursquare MCP Server

Get User Tastes

get_user_tastes

Retrieve a registered user's taste preferences, including favorite food types and enjoyed experiences, by username to personalize recommendations and venue picks.

Instructions

Get a user's taste preferences (food types, experiences they enjoy).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesRegistered username

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, and it discloses almost nothing: no confirmation that this is a non-mutating read, no auth/permission notes, no mention of behavior when the user has no recorded tastes. 'Get' weakly implies read-only, but that is inference rather than disclosure.

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 sentence with the key information front-loaded and no filler. Nothing is wasted and the parenthetical adds genuine clarifying value rather than padding.

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

Completeness3/5

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

An output schema exists, so return values need no explanation, and the input is a single well-documented field. However, for a tool sitting among twelve sibling user/venue readers, the description omits the routing information and any read-safety context an agent needs to select it confidently.

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?

Only one parameter ('username') with 100% schema description coverage ('Registered username'), so the schema fully documents the input. The description adds no parameter-level detail (e.g., what happens for an unknown username), so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description pairs a specific verb ('Get') with a specific resource ('a user's taste preferences') and even clarifies the content with '(food types, experiences they enjoy)'. It is clear what the tool returns, though it never distinguishes itself from near-neighbors like get_user_details or get_user_lists.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus the many sibling reads (get_user_details, get_user_lists, get_user_checkins). The agent must infer from the name alone; no conditions, prerequisites, or alternatives are given.

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