Interactive LeetCode MCP

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save_leetcode_credentials

Validates LeetCode credentials with a test API call and stores them securely for authenticated interactions.

Instructions

Validates and saves LeetCode credentials provided by the user. Validates credentials by making a test API call to LeetCode, then securely stores them for future authenticated requests.

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": {
      "csrftoken": "<csrftoken>",
      "session": "<session>"
    },
    "name": "save_leetcode_credentials"
  }
}

Input Schema

Name	Required	Description	Default
`session`	Yes	Session token from LeetCode cookies (LEETCODE_SESSION)
`csrftoken`	Yes	CSRF token from LeetCode cookies (csrftoken)

Schema Changelog

Changes observed during successful MCP inspections.

First observedv3.2.4Jul 29, 2026

TDQS

A3.8/5.0

Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses the validation step via a test API call and secure storage, but omits details on failure handling, overwrite behavior, rate limits, or storage specifics. This is adequate but lacks depth for full transparency.

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 sentences, no unnecessary words. Clear front-loading of action and purpose. Every sentence adds value.

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

Completeness4/5

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

For a tool with 2 required params, no output schema, and no annotations, the description covers the key behaviors: validation via test call and secure storage. It could mention what happens on validation failure or refer to the auth flow, but overall it is sufficiently complete given the tool's simplicity.

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 descriptions for both parameters. The description does not add meaning beyond the schema; it mentions validation and storage but does not elaborate on parameter formats or constraints. Baseline 3 is appropriate.

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 specifies a clear verb-resource pair ('validates and saves LeetCode credentials') and distinguishes the tool from siblings by stating it performs a test API call and stores credentials, which is unique among auth-related tools like start_leetcode_auth or check_auth_status.

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 usage when a user provides credentials directly, but it does not explicitly state when to use this tool versus alternatives like start_leetcode_auth (likely for OAuth) or check_auth_status (for checking existing auth). No exclusions or prerequisites are mentioned.

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