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List campuses

list_campuses
Read-onlyIdempotent

List the campuses where Fold offers a Semester Pass (prepaid weekly laundry pickup for college students). Returns four campuses — UCLA, USC, UC Berkeley, UCSF — each with their available terms (e.g. "Fall 2026"), the weekly pickup day, and pricing for both weekly and bi-weekly cadence. buy_semester_pass takes a campusId and termId from this list. Prices are in USD.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds real behavioral detail beyond them: a fixed, small result set (four campuses), the exact fields returned (terms, pickup day, weekly/bi-weekly pricing), and that prices are USD. It does not discuss caching or rate limits, but the added context is substantive.

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?

Front-loaded with the purpose, then the concrete return shape, then the downstream dependency and currency note. Every sentence carries information, though the parenthetical marketing aside about 'prepaid weekly laundry pickup for college students' is the one slightly expendable clause.

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?

With no output schema and no parameters, the description carries the full burden and discharges it: it names the cardinality, the fields, the pricing cadences, and the currency. An agent has everything needed to call it and to use its results in buy_semester_pass.

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?

The tool takes no parameters, so there is nothing for the description to disambiguate; per the rubric this is the baseline 4. The description correctly does not invent parameter guidance and instead documents the identifiers (campusId, termId) that downstream tools consume.

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 and resource ('List the campuses where Fold offers a Semester Pass') and scopes it with parenthetical context. It is unambiguous and distinguishable from every sibling, since no other tool enumerates campuses.

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?

Explicitly ties itself to buy_semester_pass by noting that tool 'takes a campusId and termId from this list', which tells an agent when this call is a prerequisite. It stops short of stating exclusions or alternatives (e.g. what to do for non-campus laundry), so it falls just below a full when/when-not statement.

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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