A Python-based MCP host that manages multiple MCP servers including browser automation, Google Calendar integration, file operations, and template services
Server defines 6 tools with basic schemas and descriptions. All tools have descriptions (10-50 chars, mostly adequate) and input schemas with type definitions. However, descriptions are terse and lack context for LLM selection. Parameter descriptions are minimal. No output schemas documented. Error handling is absent from tool definitions. Tool naming follows verb_noun convention (list_, get_, search_, add_, read_, write_) which is good, but descriptions do not explain WHEN to use each tool or what distinguishes similar tools (e.g., list_events vs search_events). No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite clear risk profiles. write_to_csv_file lacks confirmation/dry-run pattern for destructive operation.
Add two numbers together.
Get detailed information about a specific calendar event.
List upcoming events from the user's calendar.
Returns contents of a csv file.
Search for calendar events matching the given query.
Writes content to a csv file.
Tool naming inconsistency: 'addNumbers' violates verb_noun convention (should be 'add_numbers'). Inconsistent naming confuses LLM tool selection.
No output schemas documented for any tool. LLMs cannot plan downstream calls or extract required fields without knowing response structure.
Destructive tool (write_to_csv_file) lacks confirmation/dry-run pattern. No error guidance or recovery instructions. Agents cannot safely retry or undo.
Tool descriptions are terse (40-60 chars) and lack context. No explanation of WHEN to use each tool, dependencies, or prerequisites. Descriptions do not answer: What does it do? When should the LLM call it instead of a similar tool?
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 53 | <=2025-11-25 | v2 |
No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite clear risk profiles. write_to_csv_file is destructive; list_events and read_from_csv_file are read-only. Annotations enable safer agent planning.