Creates a new subscription for the customer and generates a new invoice. @param customer_id: The customer's database id @param subscription_type_fk: The database subscription type @return: a json object, in the "values" object
| Name | Required | Description | Default |
|---|---|---|---|
| customer_id | Yes | ||
| subscription_type_fk | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are empty, so the description carries the full burden. It discloses the two key side effects (subscription creation and invoice generation) and the return structure ('a json object, in the 'values' object'), but does not mention idempotency, permissions, or duplicate handling.
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?
The description is extremely concise: one action sentence followed by clean @param and @return lines. No unnecessary words or redundant information; every element serves a purpose.
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 simple 2-parameter tool with an output schema, the description covers the core action and parameter meanings. However, it omits usage context, prerequisites (e.g., customer existence), and error behavior, and lacks guidance on how it relates to subscription validation or payment tools.
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 coverage is 0%, but the description explicitly defines both parameters: customer_id as 'customer's database id' and subscription_type_fk as 'database subscription type.' This adds meaningful context beyond the bare integer types, clarifying that these are internal database keys.
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?
The description clearly states 'Creates a new subscription for the customer and generates a new invoice,' identifying the specific verb and resources. It distinguishes from siblings through the focus on subscription creation and invoice generation, but does not explicitly contrast itself with alternative tools.
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?
No guidance is provided on when to use this tool vs alternatives such as paywall__customer_validate_subscription or paywall__pay_subscription_with_credits. There are no prerequisites, exclusions, or contextual hints beyond the basic action.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools have overlapping or identical purposes (e.g., netfluid__session and netfluid__session_2_token, netfluid__email and netfluid__send_email). With 142 tools spanning wallet, crypto, funding, and paywall features, distinguishing between similar account/crypto/balance tools requires careful reading of descriptions.
Most tools follow a snake_case pattern with a netfluid__ or paywall__ prefix, but there are inconsistencies like netfluid__session_2_token, netfluid__netfluid_voucher_check, and single-noun tools (netfluid__skill, netfluid__fees). The two namespaces use slightly different conventions, making the overall set feel less uniform.
At 142 tools, this is an extremely large surface for any MCP server. Even for a comprehensive financial platform, this exceeds practical usability and likely includes duplicates or overly granular operations.
The tool set covers a wide range of operations including account management, crypto transactions, funding methods, withdrawals, and paywall subscriptions. However, the presence of duplicate tools suggests redundancy rather than a clean, minimal complete surface, and some workflows may require chaining many tools.