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generate_sdk

Generate type-safe client SDKs in TypeScript, Python, JavaScript, or Go from an OpenAPI specification, turning API definitions into ready-to-use client libraries.

Instructions

Generate a client SDK in TypeScript, Python, JavaScript, or Go from an OpenAPI specification. Creates ready-to-use client libraries with type safety.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
specYesOpenAPI specification as JSON string
languageYesTarget language for SDK generation
clientNameNoOptional: Custom client class name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden. It hints that the result is a 'ready-to-use' typed client, but never says whether files are written to disk, a code string is returned, or what the generation cost/side effects are.

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

Conciseness4/5

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

Two tight sentences, front-loaded with the core action and input source. The second sentence is mildly redundant but does add the type-safety value proposition, so little waste overall.

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 schema is small and fully documented, and no output schema exists, so return-value details are not strictly required. Still, for a generation tool with no annotations, the absence of any statement about output form or side effects leaves a meaningful gap.

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% and every parameter is documented in the schema, so the schema does the heavy lifting. The description's language enumeration merely restates the enum and adds no syntax or format guidance beyond it.

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) plus resource (client SDK) and names the exact input (OpenAPI specification) and supported languages. It is easy to distinguish from siblings like generate_api_docs or parse_openapi, though it does not explicitly say how it differs from them.

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?

There is no statement of when to use this tool versus alternatives such as parse_openapi or generate_api_docs, and no prerequisites are mentioned. The agent must infer the use case entirely from the purpose sentence.

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