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CheckPoint MCP Servers Explorer

CheckPoint MCP Servers Explorer

by mkol5222
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

get_chkp_mcp_server_documentation

Retrieves CheckPoint MCP server documentation from NPM, converting it to markdown for easy access to README, configuration, environment variables, and usage.

Instructions

Get NPM package documentation for a CheckPoint MCP server.

Fetches the NPM package page and converts it to markdown format, including README, configuration details, environment variables, and usage information.

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": {
      "package_name": "<package_name>"
    },
    "name": "get_chkp_mcp_server_documentation"
  }
}

Input Schema

NameRequiredDescriptionDefault
package_nameYesThe NPM package name of the MCP server (e.g., "@chkp/quantum-management-mcp")

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.5

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden. It effectively explains the fetch-and-convert process and the specific sections included in the resulting markdown. This is transparent about outcome, though it stops short of mentioning side effects, error cases, or network dependencies.

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?

Two well-structured sentences with no fluff. The first sentence states the core function, the second details the process and content, making it easily scannable.

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

Completeness5/5

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

The tool has only one parameter, a complete schema, and an output schema (not shown). The description adequately covers the tool's functionality, input domain, and what the result will contain, making it complete for a simple fetch operation.

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 coverage is 100% with package_name already described including an example. The description adds the domain context of 'CheckPoint MCP server' but does not provide additional parameter syntax or format beyond the schema. Baseline 3 is appropriate as the description adds marginal value.

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 retrieves NPM package documentation for a CheckPoint MCP server and enumerates the content (README, configuration details, environment variables, usage). This distinguishes it from sibling tools like fetch_readme, which likely only retrieve the README.

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

Usage Guidelines3/5

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

The description implies use when full package documentation is needed, but it does not explicitly mention alternatives or provide when-not-to-use guidance. The presence of sibling tools like fetch_readme suggests a potential substitution but no direct comparison is made.

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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