Leetcode User
leetcode_userLeetCode: LeetCode solved problems, ranking, badges
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
leetcode_userLeetCode: LeetCode solved problems, ranking, badges
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the output data but does not disclose any behavior such as authentication requirements, rate limits, error conditions, or whether it performs a network request. For a tool with no annotations, this is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence with no filler. It is efficient, though it omits necessary details. The structure is clear, but the brevity works against completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one optional parameter, an output schema, and no annotations, the description is incomplete. It lacks parameter semantics, usage context, and behavioral details. An agent would not know how to call it correctly without guessing the meaning of 'q'.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has a single parameter 'q' with a default value and no description. The tool description does not explain what 'q' represents (likely a username). With 0% schema description coverage, the description fails to compensate, leaving the agent without any understanding of the parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the resource (LeetCode user) and the kind of data returned (solved problems, ranking, badges), which is clear enough to distinguish from sibling tools like codeforces or chesscom. It is not a tautology and provides specific information beyond the name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, no mention of prerequisites, and no context about typical use cases. The description simply states what it does without any direction.
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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