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bluecolumn-mcp

bluecolumn-mcp

by bluecolumnconsulting-lgtm
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

remember

Save text, document URLs, or audio to persistent memory for future recall. AI automatically extracts a summary, action items, and key topics.

Instructions

Store text, a document URL, or audio URL into BlueColumn persistent memory. Returns a summary, action items, and key topics automatically extracted by AI. Use when the user or agent wants to save information for future recall.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "remember"
  }
}

Input Schema

NameRequiredDescriptionDefault
textNoRaw text content to store in memory
titleNoOptional title for this memory (include date for best recall)
file_urlNoURL to a PDF or document
audio_urlNoURL to an audio file (will be transcribed via Whisper)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose that the tool returns AI-extracted summaries, action items, and key topics, and implies persistence. However, it omits potential details like permission requirements, reversibility, or handling of audio transcription (which is only in the schema). This is moderate transparency for a write operation.

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 three sentences, front-loaded with the primary action, and every sentence earns its place: purpose, return value, and usage context. No filler or redundancy.

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?

The description covers the tool's core function, return values, and usage scenario. Since there is no output schema, the description appropriately explains what the tool returns (summary, action items, key topics). It does not address edge cases or failure modes, but for a straightforward store-and-summarize tool, it is largely complete.

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 description coverage is 100%, with all four parameters already described in the schema. The description only restates that it stores text, document URL, or audio URL, adding no new meaning or constraints beyond what the schema provides. Baseline of 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?

The description clearly states the tool stores text, document URLs, or audio URLs into persistent memory, with a specific verb 'Store' and resource 'BlueColumn persistent memory'. It also distinguishes itself from potential siblings like 'recall' by explicitly framing this as a save operation for future recall.

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 usage context: 'Use when the user or agent wants to save information for future recall.' It does not explicitly mention alternatives or when not to use, but the clarity of the use case is sufficient for selection among sibling tools.

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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