Skip to main content
Glama

renewal-matrix

Server Details

Score a subscription cancellation flow against federal, CA, CO, VT, and OR click-to-cancel laws.

If you are the author of this connector, you can claim ownership with GitHub, an HTTP challenge, or a DNS record. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

TDQS

A3.9/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool in the server, there is no possibility of confusing it with another tool. Its purpose is clearly focused on checking renewal/cancellation compliance.

Naming Consistency5/5

The single tool name 'check_renewal_cancellation_compliance' follows a clear verb_noun pattern and is descriptive. There are no other tools to create inconsistencies.

Tool Count3/5

One tool feels thin for a server that references multiple state laws and a paid report, but the tool itself is not trivial; it provides a defined federal-level check. It sits at the borderline of being too few.

Completeness2/5

The tool only returns a federal-level result despite mentioning state-specific laws, and the state-by-state breakdown is gated behind an external paid report. This leaves a significant gap for agents needing full compliance coverage.

Available Tools

1 tool
check_renewal_cancellation_complianceAInspect

Score a subscription business's signup/cancellation flow against US click-to-cancel and auto-renewal law (federal FTC Section 5/ROSCA, plus California AB 2863, Colorado SB25-145, Vermont, and Oregon). Returns the federal-level result now; the full state-by-state breakdown with statute citations is a separate $49 report at https://www.edgethirteen.com/tools/renewal-matrix. Not legal advice.

ParametersJSON Schema
NameRequiredDescriptionDefault
sells_statesYesComma-separated state codes the business sells to, or 'nationwide'
online_cancelYesCan a customer cancel online, in the same medium used to sign up?
online_signupNoCan a customer sign up online?
prechecked_consentNoIs the auto-renewal consent box pre-checked by default?
renewal_notice_daysNoDays of advance notice given before a renewal charge, if any
b2b_customers_coloradoNoDoes the business have B2B customers in Colorado?
phone_or_email_requiredNoIs a phone call or email required to cancel?
long_term_or_discounted_trialNoIs this a 1+ year term, or a discounted/free trial converting to full price?

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It states it returns a federal-level result and that it is not legal advice, which is useful. However, it does not disclose whether the tool is read-only, how it behaves on invalid input, or what the exact output format is (e.g., a score, pass/fail, etc.). The lack of detail on output structure is a gap.

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?

The description is concise (three sentences) and front-loaded with the primary purpose. It includes a link to a related report and a legal disclaimer without unnecessary fluff. Every sentence adds value, and the structure is clear.

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?

The description covers the tool's purpose and output scope but leaves ambiguity about the exact return format (what constitutes a 'result'). It doesn't explain how the score is presented or interpreted, and it doesn't clarify whether the tool handles partial inputs or error cases. Given the 8 parameters and no output schema, more detail would improve completeness.

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 eight parameters are documented in the schema. The description adds no additional parameter-level context beyond what the schema provides. Baseline of 3 is appropriate since the schema does the heavy lifting and the description doesn't conflict with or enhance it.

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?

The description clearly states the tool's function: scoring a subscription business's signup/cancellation flow against specific US laws. It names the specific legal frameworks (FTC Section 5/ROSCA, state laws) and distinguishes its output scope (federal-level result) from the separate state breakdown. This is a specific verb+resource with no ambiguity.

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 description gives explicit guidance on output scope: it returns the federal-level result now, while the full state breakdown with citations is a separate paid report. This implies the tool is for a quick federal check, and if state details are needed, the user should purchase the report. It doesn't explicitly say 'use this when...' but the scope is clear.

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. 1 tool update
    • First observedcheck_renewal_cancellation_compliance

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Computes multi-jurisdictional AI compliance readiness scores with sourced penalty math, enabling gap analysis and audit tier recommendations.
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Scores companies against a configurable Ideal Customer Profile using firmographic and signal data. Returns a weighted fit score with per-criterion breakdowns.
    1
    65 npm
    2
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables 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.
    1
    MIT
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources