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knowledge_sync_rules

Syncs high-importance insights into project IDE rules files, ensuring dynamic learnings persist as static rules for consistent context.

Instructions

Auto-sync graduated insights (importance >= 7) into your project's IDE rules file (.cursorrules or .clauderules). This bridges behavioral memory with static IDE context — turning dynamic agent learnings into always-on rules.

How it works:

  1. Fetches graduated insights from the ledger

  2. Formats them as markdown rules inside sentinel markers

  3. Idempotently writes them into the target file at the project's configured repo_path

Requirements: The project must have a repo_path configured in the dashboard.

Idempotency: Uses <!-- PRISM:AUTO-RULES:START --> / <!-- PRISM:AUTO-RULES:END --> sentinel markers. Running this tool multiple times produces the same file. User-maintained content outside the sentinels is never touched.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNoIf true, returns a preview of the rules block without writing to disk. Default: false.
projectYesProject identifier. Must have a repo_path configured in the dashboard.
target_fileNoTarget rules filename (default: '.cursorrules'). Common values: '.cursorrules', '.clauderules'.
Behavior4/5

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

With no annotations, the description carries full burden. It explains idempotency via sentinel markers, the three-step process, and dry_run behavior. Missing details on file creation or error handling, but still strong.

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 front-loaded purpose, followed by how-it-works, requirements, and idempotency. Slightly verbose but efficient overall.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers purpose, mechanism, requirements, and idempotency. Lacks edge cases like file creation or error handling, but is complete for a sync tool given no output schema.

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

Parameters3/5

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

Schema coverage is 100% with thorough descriptions for all three parameters. The description adds no new semantic information beyond what the schema already provides.

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 the specific verb 'Auto-sync' and resource 'graduated insights into IDE rules file'. It distinguishes itself from sibling tools as the only tool that syncs insights to static rules files.

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

Usage Guidelines4/5

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

Provides clear context: bridges behavioral memory with IDE context, and lists a requirement (repo_path configured). However, it does not explicitly state when not to use it or mention alternatives, though alternatives may not exist.

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

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