Performs a Gemini AI prompt.
@param api_key: The api key allocated to your application @param token: The wallet_api_token provided by /access/login @param wallet_fk: The wallet_fk provided by /access/login @param prompt: The string prompt
@return: a json object
| Name | Required | Description | Default |
|---|---|---|---|
| token | Yes | ||
| prompt | Yes | ||
| api_key | Yes | ||
| wallet_fk | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It only lists parameters and says 'a json object' is returned. It does not explain side effects, error behavior, rate limits, or whether calling this tool consumes quota or affects the wallet linked by wallet_fk.
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 compact and well-structured, using a JSDoc-like format with clear param annotations and a return comment. Every line contributes essential information without filler, making it easy to scan.
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?
Despite having an output schema (per context signals), the description only says 'a json object' without detailing the response structure. It lacks context on why these authentication parameters are required, what the Gemini prompt does, and how wallet_fk is used, making it incomplete for reliable invocation.
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 description provides a line for each parameter, but explanations are minimal and somewhat tautological (e.g., 'The string prompt' for prompt, 'The api key allocated to your application' for api_key). It does not clarify how to obtain the token or wallet_fk beyond referencing /access/login, leaving ambiguity about their exact 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 states 'Performs a Gemini AI prompt' which indicates the tool interacts with a Gemini AI model, but the verb 'performs' is vague and doesn't specify the action (e.g., send, generate, ask). It is not a tautology but lacks precision and does not clarify what the result represents.
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?
There is no guidance on when to use this tool versus alternatives. The description does not mention any prerequisites, exclusions, or typical scenarios, leaving the agent to infer appropriate usage solely from the tool name and basic description.
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.