Skip to main content
Glama

Codewars

by io.github.pipeworx-io

Recent Changes

recent_changes
Read-onlyIdempotent

"What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings since since), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). since accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesEntity type. Only "company" supported today.
sinceYesWindow start — ISO date ("2026-04-01") or relative ("7d", "30d", "3m", "1y"). Use "30d" or "1m" for typical monitoring.
valueYesTicker (e.g., "AAPL") or zero-padded CIK (e.g., "0000320193").

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Adds rich behavioral context beyond annotations: fans out to multiple sources, fallback logic, PatentsView sunset, and return structure. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with examples first, then mechanics, then parameter details, and differentiator. Slightly lengthy but every sentence adds value.

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?

Despite no output schema, describes return structure, fallback behavior, and error handling comprehensively for a multi-source tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but description adds extra clarifications like 'since' accepts ISO or relative, 'value' is ticker or CIK, and usage advice.

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 it is a change feed for a company over a recent window, using examples like 'What's new with X' and explicitly distinguishing from sibling tool 'entity_profile'.

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

Usage Guidelines5/5

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

Provides explicit when-to-use (recent changes) and when-not-to-use ('Use entity_profile instead for static profile'), plus detailed behavior like fallback between GDELT and GNews.

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

All Codewars toolsInspect
Try in Browser
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.4/5.0
Disambiguation2/5

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.

Naming Consistency3/5

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.

Tool Count1/5

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.

Completeness1/5

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.

Resources