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Cancel My Sub: How to cancel one subscription

cancelmysub_get_cancel_steps
Read-onlyIdempotent

Cancel My Sub. How to cancel one subscription. For requests like "how do I cancel Netflix?", "cancel my Planet Fitness membership", "how do I leave Sky?", "cancel my PureGym", "what's the cheapest way to keep Spotify?", "stop my Audible". Returns the official page, steps, catches and a cheaper option. UK answers add region ("UK") and uk_rules; a US-only service asked about from the UK has region "US only".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoTwo-letter country code. GB (or UK) gives UK pages, UK notice rules and uk_rules; defaults to the caller's country, else US.
serviceYesThe subscription's name in everyday words, up to 80 characters.
renews_onNoNext renewal or billing date (or next delivery for meal kits), YYYY-MM-DD. Adds cancel_by: the last safe day to cancel using the service's own notice rule, or a day early where it has none, and add_to_calendar: a link to a calendar reminder for that day.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds real value beyond that: it enumerates the return contents (official page, steps, catches, cheaper option) and discloses the UK-region special-casing and the 'US only' edge case.

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-loads the purpose, then examples, then return shape and regional handling. It is slightly long due to six sample queries, but each sentence is informative and nothing is padded with boilerplate.

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?

For a read-only, no-output-schema tool the description is sufficiently complete: it explains what is returned, how country affects the answer, and the required service name. It does not spell out pagination or error behavior, but those are not material for this lookup.

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% and each of the three params is well documented in the schema (including the renews_on-derived cancel_by and add_to_calendar). The description only marginally adds meaning, mainly the 'US only' cross-border nuance, so the baseline 3 for high-coverage schemas is 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+resource: telling the user how to cancel one subscription, and the example queries (cancel Netflix, leave Sky, stop Audible) pin down the domain sharply. The word 'one subscription' subtly distinguishes it from cancelmysub_list_services, but no sibling is named, 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 Guidelines4/5

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

The six natural-language example requests make the intended trigger conditions very clear. However, there is no explicit when-not guidance and no mention of the alternative siblings (get_cancel_reminder, identify_charge, list_services), so an agent must infer the boundaries.

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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