Skip to main content
Glama
Sign In
API Hub MCP — 337+ Tools

API Hub MCP — 337+ Tools

by scotia1973-bot
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

comment_strip

Strip comments from source code. Specify the programming language to clean your code for analysis or transformation.

Instructions

Strip comments from source code.

Parameters:
    code — Source code with comments to remove.
    language — Programming language (default: 'python').

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": {
      "code": "<code>"
    },
    "name": "comment_strip"
  }
}

Input Schema

NameRequiredDescriptionDefault
codeYes
languageNopython

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.4.1

TDQS

B3.2/5.0
Behavior2/5

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

No annotations exist, and the description does not disclose any behavioral details beyond the basic action. For example, it does not mention which comment styles are removed (e.g., single-line vs multi-line), or any side effects like formatting changes.

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 concise with two sentences and a parameter list, making it easy to scan. It avoids redundancy but could benefit from a more structured format.

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?

Given the presence of an output schema, the description need not explain return values. However, it lacks complete behavioral context, such as whether it handles nested comments or preserves code formatting. It is minimally adequate.

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?

The description adds brief explanations for both parameters (e.g., 'Source code with comments to remove' and 'Programming language (default: python)'), which are not present in the schema. However, the explanations are minimal and could be more detailed, especially for the language parameter.

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 action ('strip comments') and the resource ('source code'). It is specific and distinct from sibling tools like code_beautify or code_minify_js, which handle other transformations.

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 versus alternatives. Given many sibling tools related to code processing, the agent lacks context to decide the correct tool.

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

Deploy Server

Other Tools