Callable-to-openai-function-calling-template

A Python utility that converts a user-defined Python function (using a specific docstring template and type annotations) into an OpenAI tool-calling compatible JSON schema/representation (function or tool format).

Evaluated Apr 04, 2026 (16d ago)
Repo ↗ DevTools function-calling openai tool-calling pydantic python
⚙ Agent Friendliness
46
/ 100
Can an agent use this?
🔒 Security
22
/ 100
Is it safe for agents?
⚡ Reliability
24
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
0
Documentation
55
Error Messages
0
Auth Simplicity
100
Rate Limits
0

🔒 Security

TLS Enforcement
0
Auth Strength
0
Scope Granularity
0
Dep. Hygiene
40
Secret Handling
80

No network/API access described, but the tool-calling schema includes/describes function docstrings that may contain sensitive instructions/data. Also, the README warns about caution with arbitrary code in docstrings; while this library primarily parses docstrings/signatures, unsafe or overly permissive patterns in a broader workflow could still lead to security issues. No claims about dependency auditing, CVEs, or secret logging are provided in the supplied content.

⚡ Reliability

Uptime/SLA
0
Version Stability
45
Breaking Changes
30
Error Recovery
20
AF Security Reliability

Best When

When you already have Python functions with consistent docstring formatting and want deterministic schema generation for OpenAI-style tool calling.

Avoid When

When your function docstrings do not match the expected template exactly, or you need robust handling of complex/heterogeneous Python type constructs beyond what the library supports.

Use Cases

  • Generating OpenAI function/tool-calling schemas from Python functions for LLM agents
  • Fine-tuning/inference workflows that require a consistent function-calling JSON template
  • Reducing manual work translating function signatures + docstrings into OpenAI tool schemas

Not For

  • Production-grade function execution/execution environments (it only generates schemas, not safe execution)
  • Handling arbitrary docstrings/signatures that do not follow the expected template (the output may be incorrect)
  • Services that require network-based authentication or rate-limited APIs

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

OAuth: No Scopes: No

No authentication is described; this is a local/offline schema-generation library.

Pricing

Free tier: No
Requires CC: No

No pricing information provided.

Agent Metadata

Pagination
none
Idempotent
True
Retry Guidance
Not documented

Known Gotchas

  • Docstring must match the expected template 'exactly' (including whitespace/empty lines) for correct parsing.
  • Behavior may differ based on get_tool_format vs direct function format expectations.
  • Library intentionally strips 'extra checks' compared to LangChain; malformed annotations/docstrings may yield incorrect schemas without clear remediation.

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Scores are editorial opinions as of 2026-04-04.

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