Skip to main content
Glama
jbeker

Foursquare MCP Server

Get User Checkins

get_user_checkins

Retrieve a registered user's Foursquare check-ins, optionally filtered by date range and limited in number. Use it to review visit history between specific start and end dates.

Instructions

Get checkins for a registered user within an optional date range.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum checkins to return (default 50)
usernameYesRegistered username
after_dateNoStart date filter (YYYY-MM-DD), inclusive
before_dateNoEnd date filter (YYYY-MM-DD), exclusive

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. 'Get' implies a read, but the description says nothing about ordering, whether results are capped at 50 by default, whether pagination exists, or what happens when the date filters are omitted — all meaningful for a list tool with a limit parameter.

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?

A single front-loaded sentence with no wasted words; the filter constraint follows the core purpose. It is efficient, though arguably too thin to inform correct invocation.

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 schema fully documents parameters. Still, for a list tool with a default cap of 50, the absence of any note on result truncation or ordering leaves a gap the agent must fill by trial.

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 description coverage is 100%, so all four parameters (username, limit, after_date, before_date) are already documented with formats and defaults. The description only echoes 'optional date range' and adds nothing about the limit or exclusive/inclusive date semantics, making the baseline 3 appropriate.

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?

States a specific verb ('Get') and resource ('checkins') scoped to a registered user, which distinguishes it from get_checkin_detail (singular) and search_all_users_checkins (across users). However, it never names those siblings explicitly, so the differentiation is left to inference.

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?

The phrase 'for a registered user' implies the retrieval context, but there is no explicit when-to-use statement, no prerequisites, and no routing to alternatives such as search_all_users_checkins or get_user_venue_history. An agent must guess the boundary conditions from the sibling names alone.

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