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July-Blue-Sky-LLC

CacheTank MCP Server

Official

cache_it

Save decisions, conclusions, or outputs to your persistent context so AI tools can reference them in future sessions.

Instructions

Save a piece of knowledge, decision, or output to this person's CacheTank. Use when they make an important decision, reach a conclusion, or produce something worth keeping. They may say "cache it," "save this," or "save to my tank." Saved items become part of future context automatically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
markdownYesThe content to save (Markdown)
titleYesShort title (e.g., "Q1 pricing decision")
projectNoWhich project to save under (default: "General")
layerNoSELF = identity (highest priority), PROJECTS = active work, SKILLS = how you think, OUTPUTS = finished work, WORKFLOWS = processes, INBOX = archive. Default: OUTPUTS.
Behavior4/5

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

The description adds value beyond annotations by stating that saved items become part of future context automatically. Annotations indicate writing intent, and the description complements this with a meaningful side effect.

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?

The description is concise (3 sentences) and front-loaded with the primary action. Every sentence adds value, making it efficient for an agent to parse.

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?

Given the schema covers parameter details and annotations are present, the description provides sufficient context for a low-complexity tool. It does not cover return values, but no output schema exists.

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?

All parameters have descriptions in the schema (100% coverage), so the description does not need to add further meaning. It does not elaborate on parameter usage beyond what the schema provides.

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 the action ('save') and resource ('CacheTank'), and provides examples of trigger phrases. However, it does not explicitly differentiate from the sibling tool 'fill_tank', which may cause confusion.

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?

The description provides explicit guidance on when to use ('important decision, conclusion, or something worth keeping') and includes trigger phrases. It lacks exclusion criteria or alternatives to the sibling tool.

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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