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Foundaree

Save a note for all your AIs

remember

Save something the user wants every AI to know, in their Foundaree Memory: preferences, facts about them or their business, how they like things written ("my shop opens 9 to 7", "write in a friendly, short style", "my audience is small shops in Kochi"). Any assistant they connect to Foundaree can read it later with recall. Save only what the user asked to remember or clearly agreed to, one idea per note, in their words. Never save passwords, PINs, one-time codes, keys or card numbers: they are refused. They can see, edit and delete everything at https://foundaree.com/memory. Needs the user to have connected their Foundaree account.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

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

Input Schema

NameRequiredDescriptionDefault
noteYesWhat to remember, as a short sentence or two.
topicNoAn optional one- or two-word topic to group it, e.g. "business", "writing style", "family".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare the write, non-destructive, non-idempotent, closed-world profile, and the description adds material context beyond them: secrets are actively refused, the note becomes readable by every connected assistant, an account connection is a prerequisite, and the user retains full visibility and control. It does not say what a successful call returns (id, confirmation) or what a refusal looks like, which keeps it short of a 5.

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?

Front-loaded with the core action, then exclusions, then the sharing/auth model, so the most important sentence comes first. It is dense and mostly earns its length, though the parenthetical example set is slightly long and the same facts are partly restated in the closing sentences.

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?

For a two-parameter write tool with no output schema, the description covers purpose, consent rules, prohibited content, persistence semantics, and the auth prerequisite. The only real gap is the outcome of a call — whether it returns an identifier or a confirmation — which the absence of an output schema leaves entirely to inference.

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

Parameters4/5

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

Schema coverage is 100%, so the schema already documents both fields; the baseline would be 3. The description still adds real constraint beyond it: notes should be one idea, phrased in the user's own words, and drawn from something the user actually said — guidance that changes what an agent writes into `note`.

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?

States a specific verb and resource ("Save ... in their Foundaree Memory") and immediately scopes what belongs there with three concrete example categories. It also names the counterpart read tool ("recall"), so an agent can place this on the write side of a save/read pair without opening a schema.

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?

Gives an explicit when-to-save rule ("only what the user asked to remember or clearly agreed to"), a when-not rule (passwords, PINs, one-time codes, keys, card numbers), a granularity rule ("one idea per note"), and routes correction/deletion to the web UI. Alternatives for reading (recall) and for maintenance (the memory page) are named.

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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