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pyobfus-mcp

pyobfus-mcp

by zhurong2020
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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generate_pyobfus_config

Generate a pyobfus.yaml config for a Python project. Auto-detects frameworks and applies matching presets, returning YAML text or writing to disk when write=true.

Instructions

Generate a pyobfus.yaml for a Python project. Auto-detects frameworks and applies the matching preset. By default returns the YAML text without writing to disk; set write=true to persist.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "path": "<path>"
    },
    "name": "generate_pyobfus_config"
  }
}

Input Schema

NameRequiredDescriptionDefault
pathYes
writeNo
preset_overrideNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.5.6
  2. Removed
  3. First observedv0.1.2

TDQS

A4/5.0
Behavior4/5

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

It discloses that it auto-detects frameworks and the default vs. write behavior, which is important for a generation tool, though it doesn't specify error handling or file overwrite policy.

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

Conciseness5/5

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

The description is two concise sentences, front-loading the purpose and then providing key behavioral details without unnecessary words.

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?

While the description covers the main action and default behavior, it omits details on the 'preset_override' parameter and error scenarios, making it adequate but not thorough for a tool with auto-detection logic.

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?

The description only explains the 'write' parameter; 'path' and 'preset_override' are not described despite 0% schema coverage, leaving the agent unclear on expected values and semantics.

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

Purpose5/5

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

The description clearly states the tool generates a pyobfus.yaml for a Python project, which is specific and distinguishes it from siblings like protect_project or recommend_tier.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains the default behavior (returns YAML text) and when to use the write parameter, but does not explicitly state when not to use it or alternatives.

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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