Skip to main content
Glama

sdk_generate_python

Generate Python SDK with type hints from a project directory to produce type-safe client code.

Instructions

Generate Python SDK with type hints (Pro feature)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
directoryYesProject directory
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals that this is a 'Pro feature', which hints at entitlement requirements, but it does not disclose whether api_key is required, what source input is expected, whether files are written, or whether existing files are overwritten. This is insufficient for a generation tool.

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?

The description is a single efficient sentence with no filler. 'Pro feature' is relevant context and 'with type hints' conveys an output characteristic. The structure is front-loaded and concise, though the brevity does contribute to incomplete context.

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

Completeness2/5

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

With no annotations, no output schema, and an incomplete parameter schema, the description needed to provide more context. It does not explain the role of api_key, the expected input source, or the generated output. An agent could guess that it writes a Python SDK into directory, but important invocation details are missing.

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

Parameters2/5

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

Schema description coverage is only 50%, and the description adds no parameter-specific meaning. The api_key parameter has no schema description and the description does not connect it to the 'Pro feature' hint. Directory is only described as 'Project directory', and the description does not clarify whether it must be empty, existing, or contain a source spec.

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 clearly states a specific verb and resource: 'Generate Python SDK'. The 'Python' qualifier also effectively distinguishes this from the sibling sdk_generate_typescript, though the description never names that alternative or explains the generation source. It is clear but not fully differentiated.

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 guidance about when to use this tool versus alternatives like sdk_generate_typescript or sdk_from_openapi. The only implicit context is the 'Python' language in the tool name and description, which is not enough for an agent to understand when this is the right choice.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/barnburner121/claude-plugin-marketplace'

If you have feedback or need assistance with the MCP directory API, please join our Discord server