renewalmatrix
Server Details
Score a subscription flow against US click-to-cancel / auto-renewal laws.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
TDQS
Scored across 1 tool
Only one tool is provided, so there is no overlap or ambiguity between tools. Its purpose is clearly distinct: checking renewal compliance against click-to-cancel laws.
The single tool name follows a clean snake_case verb_noun pattern: check_renewal_compliance. With only one tool, there is no inconsistency to evaluate.
The server is narrowly focused on one compliance-checking function, so a single tool is reasonable and not bloated. However, it is below the typical multi-tool range and offers no granularity for separate jurisdictions or report retrieval.
The tool covers the federal free-tier check but only returns a locked count of state findings, leaving the full 5-jurisdiction report inaccessible through the server. This is a notable gap for agents needing complete multi-state compliance assessment.
Available Tools
1 toolcheck_renewal_complianceAInspect
Score a subscription business's signup/cancellation flow against current US click-to-cancel / automatic-renewal laws (federal FTC Section 5/ROSCA, plus CA/CO/VT/OR in the full paid report). Deterministic rules engine, no LLM guessing -- every finding cites its actual statute. This free tool returns only the federal result plus a locked count of state findings; the full 5-jurisdiction report with citations is a $49 one-time purchase at renewalmatrix.vercel.app. Informational only, not legal advice.
| Name | Required | Description | Default |
|---|---|---|---|
| sells_states | Yes | State codes the business sells subscriptions in, e.g. ['CA','CO'], or ['nationwide'] | |
| online_cancel | No | Can a customer cancel online, same medium as signup? | |
| online_signup | No | Can a customer sign up online? (default true) | |
| prechecked_consent | No | Is the auto-renew consent box pre-checked/default-on? | |
| renewal_notice_days | No | Days of advance notice sent before a renewal charge, if any | |
| b2b_customers_colorado | No | Does the business sell to B2B customers in Colorado? | |
| phone_or_email_required | No | Is phone or email required to cancel? | |
| long_term_or_discounted_trial | No | Is this a 1+ year term or a discounted-trial-to-paid conversion? | |
| confirmation_email_with_cancel_instructions | No | Does the signup confirmation email restate cancel instructions? |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden and discharges most of it: it discloses the deterministic rules engine, the statute-citation behavior, what the free call actually returns (federal result plus a locked count of state findings), the paid boundary, and the legal disclaimer. It stops short of describing response shape or failure/edge behavior, keeping it out of the top band.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded with the core purpose and scope, then the differentiators and the disclaimer. Dense but every sentence carries information; the pricing/purchase line is the only marginally promotional element, which is still relevant to expectations.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a nine-parameter analysis tool with no output schema, the description explains what the free invocation returns and where the rest of the data lives, plus the informational-not-legal-advice caveat. It is complete enough to call correctly, with only minor gaps around return structure.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so all nine parameters are already documented in the schema with clear examples (e.g. sells_states state codes). The description adds jurisdiction context but no per-parameter meaning beyond what the schema provides, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (score) plus resource (a subscription business's signup/cancellation flow) against a named body of law (US click-to-cancel/automatic-renewal rules, FTC Section 5/ROSCA plus state statutes). An agent can tell exactly what this produces without opening the schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clarifies scope and the free-vs-paid tier split (free returns federal only; the full 5-jurisdiction report is a paid purchase), but never states an explicit when-to-use or when-not condition, and there are no sibling tools to route against. Usage is only implied by the compliance-check framing.
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 tool update
- First observed
check_renewal_compliance
Related MCP Connectors
Fail-closed refund, cancellation, return, and trial checks for 100 US subscription vendors.
Refund eligibility notary for US subscriptions. Returns ALLOWED/DENIED/UNKNOWN.
Compliance lint for AI, scraping, and privacy law. Cited findings in 200 or more jurisdictions.
Check WooCommerce checkout-change risk using public evidence and privacy-safe store signals.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceComputes multi-jurisdictional AI compliance readiness scores with sourced penalty math, enabling gap analysis and audit tier recommendations.MIT
- AlicenseNot gradedqualityAmaintenanceDeterministic MCP notary suite for subscription policies: refund, cancellation, return, and trial terms. Stateless, read-only rules engine with auditable verdicts and hosted remote endpoints.6 npm1MIT
- AlicenseAqualityBmaintenanceEnables auditing any public website, returning a scored plain-English report that flags issues costing customers, covering speed, phone experience, search visibility, contact options, writing quality, and modernity.1MIT
- AlicenseAqualityAmaintenancePoint your coding agent at a URL and get a real-browser QA audit: broken signup/login/checkout flows, JS console errors, missing analytics, consent + security headers, mobile tap targets, and accessibility — returned as machine-verified findings graded A-F.442Apache 2.0
Glama MCP Gateway
Add one secure layer between your agents and this server.