AI multi-agent orchestrator for software development with role-based agents (PO, Scrum, DBA, Backend, Frontend, Tester, Docs) that coordinate via Claude models and MCP tools
This MCP server has severe definition quality issues. Only 2 tools are exposed (read_file, list_directory), both with minimal descriptions (under 100 chars) and incomplete parameter documentation. Schemas are present but lack depth, parameters have type and description, but no constraints (enums, ranges, patterns). No output schemas are documented. Error handling is absent, no guidance on what happens when a file is not found or a path is invalid. The tool names follow verb_noun convention (positive), but descriptions are generic and do not explain WHEN to use each tool or what the LLM should expect. No security considerations are visible (e.g., path traversal validation, permission checks). The server appears to be a proof-of-concept rather than production-grade.
List the contents of a directory
Read the contents of a file from the filesystem
Descriptions are too generic and lack actionable context. 'Read the contents of a file from the filesystem' does not explain when to use this tool, what formats it supports, or what happens on error.
No output schemas documented. LLMs cannot plan downstream operations or extract structured data without knowing what fields to expect from read_file or list_directory.
No error handling guidance. If read_file fails (file not found, permission denied, encoding error), the tool provides no recovery hints. LLMs cannot self-correct.
Path parameter lacks constraints. No mention of path traversal validation, allowed directories, or format requirements. LLMs could pass '../../../etc/passwd' without guidance.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 44 | 2026-07-28+ | v2 |
No pagination or result limits documented. list_directory could return thousands of entries, exhausting context. No mention of max results or offset/limit parameters.