Review and import curated coding-agent memories into Pieces
Agent2Pieces defines 2 tools with basic schemas but significant quality gaps. Both tools have descriptions (10-20 chars baseline), but parameter descriptions are entirely missing, critical for LLM reasoning. Input schemas are present but lack parameter-level descriptions, violating the 100% A+ baseline. The write tool (create_pieces_memory) has 6 properties with no type info beyond the property names; the search tool has 3 properties similarly undescribed. No output schema documentation. Error handling and recovery guidance absent. Tool naming is reasonable (verb_noun pattern), but parameter naming lacks clarity (e.g., 'externalLinks' vs 'external_links' inconsistency). No evidence of idempotency, pagination support, or composition patterns.
Search Pieces annotations
Create one Pieces memory
All input parameters lack descriptions. LLMs cannot infer meaning from names alone (e.g., 'externalLinks', 'connected_client', 'cursor'). Violates 100% A+ baseline.
No output schema documented. LLMs cannot plan downstream calls or extract required fields. create_pieces_memory returns unspecified structure; annotations_full_text_search pagination fields (has_more, next_cursor, truncated) are undocumented.
Parameter types incomplete. create_pieces_memory properties have no type constraints (externalLinks, project, files lack type info). search_tool limit parameter has no min/max bounds.
No error handling or recovery guidance. Tool definitions provide no actionable error messages, retryability classification, or next-step hints for LLM recovery.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 47 | 2025-06-18+ | v2 |
Naming inconsistency: camelCase (externalLinks, connected_client) vs snake_case. LLMs struggle with mixed conventions. Standardize to snake_case per Arcade baseline.