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cachly — AI Cognitive Brain

recall_context

Retrieve previously saved context from the cache at the start of any task to check for relevant information before performing expensive operations. Supports glob patterns.

Instructions

Retrieve previously saved context from the cache. Returns the saved content or null if not found. Use this at the START of any task to check if you already have relevant context cached, before doing expensive operations like reading many files. Supports glob patterns: "file:" matches all file summaries, "arch" matches architecture-related keys.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instance_idYesUUID of the cache instance
keyYesThe key to look up (supports glob pattern like "file:*")
Behavior3/5

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

No annotations provided, so description must disclose behavior. It mentions returning content or null, glob pattern support, and potential for expensive operations. However, lacks details on idempotency, side effects, or error handling (e.g., invalid instance_id).

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?

Three sentences with no fluff. Front-loaded with core action, followed by usage guidance, then glob support details. Every sentence adds value.

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

Completeness3/5

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

No output schema, so description must explain return values; it does so simply. However, the glob behavior could be ambiguous (single key vs multiple matches). Missing error scenarios or caching semantics, but sufficient for basic retrieval.

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?

Both parameters are described in the input schema (100% coverage). The description adds value by explaining glob pattern usage for the 'key' parameter and emphasizing the use case, but does not fundamentally extend schema information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves cached context and returns content or null. It mentions glob patterns and usage at task start, which helps distinguish it from sibling tools like cache_get that may lack such guidance.

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?

Explicitly advises using this tool at the start of any task to avoid expensive operations like reading many files. Provides clear context for when to use, though no explicit when-not-to-use or alternatives.

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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