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Pradeepmajji702

Swagger MCP Server

generate_frontend_call

Generates frontend code for API calls by specifying the endpoint path, HTTP method, and target framework. Simplify frontend integration with backend endpoints defined in Swagger/OpenAPI.

Instructions

Generate frontend API call code

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
methodYes
frameworkYes
Behavior2/5

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 says 'generate code' without mentioning side effects, return value, error handling, or any constraints. It doesn't state whether this is a safe read-only operation or if it requires specific inputs, leaving the agent without essential behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence that is front-loaded and free of fluff. However, it is so brief that it lacks meaningful content, making it more under-specified than concise. It earns a middle score because the sentence itself is clear and not misleading.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, annotations, or additional context. The description does not indicate what the generated code looks like, which frameworks are supported, or what the return value is. For a tool that generates code, this is severely incomplete, leaving the agent to guess key details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description provides no explanation of the three parameters (path, method, framework). The names are self-explanatory to some degree, but the description adds zero value in clarifying their format, allowed values, or how they are used. It fails to compensate for the missing schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Generate' and resource 'frontend API call code', which clearly states the tool's function. It distinguishes from sibling tools like list_endpoints and describe_endpoint by focusing on code generation. However, it doesn't mention the inputs (path, method, framework) that make it specific.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 over alternatives. There are no exclusions, prerequisites, or contextual indicators. The description simply states what it does without explaining scenarios or limitations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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