user_authoredList kata authored by a Codewars username; returns each kata's ID, slug, name, rank, tags, and languages it supports.
| Name | Required | Description | Default |
|---|---|---|---|
| username | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| data | No | List of authored kata |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / examplesAdded value: +[
+ {
+ "username": "codewars_user"
+ }
+]Output schema / (root)Previous value: -nullNew value: +{
+ "properties": {
+ "data": {
+ "description": "List of authored kata",
+ "items": {
+ "properties": {
+ "createdAt": {
+ "description": "ISO timestamp of creation",
+ "type": "string"
+ },
+ "description": {
+ "description": "Kata description",
+ "type": "string"
+ },
+ "id": {
+ "description": "Kata ID",
+ "type": "string"
+ },
+ "name": {
+ "description": "Kata name",
+ "type": "string"
+ },
+ "rank": {
+ "description": "Kata difficulty rank",
+ "type": "number"
+ },
+ "slug": {
+ "description": "Kata slug",
+ "type": "string"
+ }
+ },
+ "type": "object"
+ },
+ "type": "array"
+ }
+ },
+ "type": "object"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate safe, read-only, idempotent behavior. The description adds that it returns specific fields and multiple kata, but does not contradict annotations. Minimal added behavioral context.
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?
Single sentence, front-loaded with key information, no wasted words. Efficiently conveys purpose and output.
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?
With a complete output schema (has-output-schema=true), a single required parameter, and thorough annotations, the description adequately explains the tool's function. The listed returned fields complement the output schema.
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?
Schema coverage is 0% with no parameter descriptions in schema. The description only implies the username parameter through context ('by a Codewars username'), adding minimal detail beyond the schema's property name and required flag.
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?
Description clearly states the verb 'List', resource 'kata authored by a Codewars username', and specifies the returned fields (ID, slug, name, rank, tags, languages). This distinguishes it from sibling tools like user_completed (completed kata) and kata (specific kata details).
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?
Implicitly indicates usage for listing authored kata, but no explicit guidance on when to use versus alternatives (e.g., user_completed for completed kata) or conditions for use.
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.
Several tools have heavily overlapping purposes: ask_pipeworx and ask_pipeworx_beta are explicitly identical right now, while ask_pipeworx, ask_pipeworx_grounded, deep_research, validate_claim, and discover_tools all occupy adjacent lookup/discovery territory. The four Codewars tools are clear, but the broader set is genuinely hard to navigate.
Most names follow a readable snake_case verb_noun style with useful prefixes like polymarket_ and user_, but there are one-word outliers (kata, user, forget, recall, remember) and inconsistent phrasing such as ai_visibility_check versus scan_competitor_ai_presence. The naming is mostly predictable but not uniform.
35 tools is already heavy, and the server is named Codewars while only 4 of the 35 tools relate to Codewars. The remaining 31 tools belong to a completely different Pipeworx research/prediction-market/brand-visibility product, making the count both excessive and fundamentally mismatched to the server's stated identity.
For a Codewars server, the surface is severely incomplete: you can fetch a single kata and a user's profile, authored list, and completed list, but there is no search, no kata listing by rank/tag, no solution submission or training workflow, and no way to manage authored kata. The unrelated Pipeworx tools do not fill these gaps; they point at a different domain entirely.