Reddit User
reddit_userReddit User: Reddit user: karma, age, verified status
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
reddit_userReddit User: Reddit user: karma, age, verified status
| 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?
With no annotations, the description carries the full disclosure burden, but it only lists data fields. It does not state that this is a read-only lookup, that it queries Reddit, what the q parameter should contain, or anything about output behavior. The listed fields weakly imply a profile lookup, but the operation itself is not disclosed.
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 short but wastes words repeating 'Reddit User/Reddit user'. It is under-specified rather than usefully concise, and it front-loads a redundant label instead of stating the action, input, or usage.
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?
Although the tool is simple and an output schema exists, the description is not complete enough to invoke correctly: it gives no indication of what q contains, whether the tool can be called with no input, or what operation is performed. An agent would have to guess or inspect external context.
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 one parameter (q) with 0% description coverage, and the description does not mention q at all. An agent cannot determine that q should be a Reddit username, whether it is required, or what format it expects. The description adds no value beyond the raw schema.
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 identifies the target resource (a Reddit user) and the data points returned (karma, age, verified status), so it is distinguishable from siblings like reddit_sub. However, it lacks a verb and never explicitly states whether the tool fetches, searches, or resolves a user; it mostly restates the tool 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?
No guidance is provided about when to call this tool, what input is needed, or how it relates to alternatives such as reddit_sub or hnuser. The correct usage context is left entirely to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.