MCP server for managing ideas, backlog items, resources, and code reviews with agent session tracking
Ideate has 15 tools with schemas and descriptions present, but quality is inconsistent. Most tool descriptions are trivial (1-20 chars: 'get_idea', 'list_resources', 'list_backlog'). Parameter descriptions are present but often generic. Schemas lack proper type constraints (many string params without enums or patterns). No error handling guidance. No tool annotations (readOnlyHint, destructiveHint). Composition is reasonable (separate CRUD tools), but naming could be clearer (e.g., 'list_backlog_by_slug' vs 'list_backlog', the distinction is not obvious from names alone). Output schemas are not documented. This is typical of a community server that prioritizes functionality over LLM-friendly design.
add_backlog_items
add_backlog_items_by_slug
add_resource
delete_backlog_items
delete_backlog_items_by_slug
delete_resource
get_idea
list_backlog
Trivial tool descriptions (1-20 chars). Tools 'get_idea', 'list_resources' have descriptions that are just the tool name repeated. LLMs cannot determine when to select these tools or what they return.
No tool annotations (readOnlyHint, destructiveHint, idempotentHint). Destructive tools (delete_resource, delete_backlog_items, delete_backlog_items_by_slug) lack explicit destructiveHint. LLMs cannot distinguish safe from risky operations.
Confusing tool naming: 'list_backlog' vs 'list_backlog_by_slug' vs 'add_backlog_items' vs 'add_backlog_items_by_slug'. The distinction (current idea vs specific slug) is not obvious from names alone. LLMs will struggle to pick the right variant.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 52 | 2026-07-28+ | v2 |
list_backlog_by_slug
list_resources
match_resource_urls
request_diff_review
update_backlog_items
update_backlog_items_by_slug
update_idea
No output schema documentation. Tools return structured data but LLMs have no formal spec of response fields, types, or pagination. Agents must infer structure from examples.
No error handling guidance. Tools lack descriptions of failure modes, recovery steps, or actionable error messages. LLMs cannot self-correct on failures.