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cachly-dev

cachly — AI Cognitive Brain

compact_recover

Recover full context after a context limit hit or compaction by reconstructing from memory crystal, recent sessions, and failures. Returns a condensed briefing to resume work without lost progress.

Instructions

Call FIRST after any context limit hit / compaction. Reconstructs full context from Memory Crystal + recent sessions + WIP registry + open failures. Returns a condensed briefing so the new context window starts exactly where the previous one left off — no lost progress.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instance_idYesBrain instance ID
focusNoWhat you were working on (helps filter relevant context)
Behavior5/5

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

Despite no annotations, description fully discloses behavior: reconstructs context from Memory Crystal, recent sessions, WIP registry, open failures, and returns a condensed briefing. No contradictions or missing critical behavioral details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two focused sentences with zero waste. The critical usage instruction 'Call FIRST' is front-loaded. All information is relevant and necessary.

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

Completeness5/5

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

Covers purpose, usage, inputs, output (condensed briefing), and behavioral scope. No output schema exists, but description adequately explains return value. Complete for a recovery tool.

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 descriptions for both parameters. The description adds no new meaning beyond what the schema already provides. Baseline 3 is appropriate.

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?

Description clearly states the tool is to be called 'FIRST after any context limit hit / compaction' and that it reconstructs full context from specific sources. This distinguishes it from sibling tools like remember_context or recall_context which are for normal context management.

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

Usage Guidelines5/5

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

Explicitly states when to use: 'after any context limit hit / compaction'. The phrase 'Call FIRST' provides strong usage guidance, making it clear this is the initial recovery step.

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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