Returns a list of supported providers.
Step 1. Returns a list of supported providers, an array of provider_id is returned, select one and use with /withdraw/to_ott_quote. @param api_key: The api key allocated to your application
@return: a json object
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | 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 burden. It discloses the return shape (array of provider_id) and prerequisite role, but does not explicitly state the operation is read-only or address potential errors or rate limits.
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 content is brief but redundant—'Returns a list of supported providers' appears twice, and the 'Step 1.' formatting adds minor clutter. Still, it is concise overall.
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?
Given the tool's simplicity, one parameter, and an output schema, the description provides sufficient context: it identifies the provider list as input for a follow-up quote call. No further information is necessary.
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?
The schema only lists api_key as a string with no description. The description adds meaning by stating 'The api key allocated to your application', which helps the agent understand the parameter's purpose.
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 the tool returns a list of supported providers and specifies it as Step 1 for withdraw_to_ott_quote, distinguishing it from sibling withdrawal 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?
It explicitly instructs to select a provider_id and use with /withdraw/to_ott_quote, providing clear usage context. However, it does not mention when not to use it or alternatives that bypass this list.
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.