Skip to main content
Glama
aic0t

AI Coach MCP Server

by aic0t

Delete an AI Coach memo

delete_ai_coach_note
DestructiveIdempotent

Move a memo to the trash for recovery in AI Coach. Confirm with the user before deleting to prevent accidental or unwanted loss.

Instructions

Move one memo in AI Coach to the trash. Deleting is recoverable from the trash, but ask the user before calling this unless they asked for the deletion themselves. AI Coach also asks the user to confirm the deletion on their screen; note_confirmation_denied means they declined it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoDisplay language hint (BCP 47). The dashboard view passes hostContext.locale through unchanged.
noteIdYesA noteId returned by list / search. It is a path relative to the memo folder (`minutes.md` / `work/minutes.md`), not an absolute path.
idempotencyKeyNoKey that keeps a resent delete from being applied twice. The server generates one when omitted.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
hitsNo
noteNo
errorNo
notesNo
totalNo
groupsNo
offsetNo
deletedNo
writtenNo
updatedAtYes
connectionYes
folderNameNo
protocolVersionYes
Behavior5/5

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

Annotations already mark destructiveHint and idempotentHint, and the description adds recoverability from trash, the in-product confirmation prompt, and the meaning of note_confirmation_denied. This is valuable behavioral context beyond structured annotations.

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 filler. The core action is front-loaded, followed by consent and confirmation behavior. Every sentence earns its place.

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?

For a destructive tool, the description covers recoverability, user consent, and confirmation failure semantics; the schema fully documents all parameters and an output schema exists. Nothing essential is missing.

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 clear descriptions for locale, noteId, and idempotencyKey. The description adds no parameter-specific meaning, so baseline 3 applies.

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: 'Move one memo in AI Coach to the trash.' It clearly distinguishes this destructive action from sibling read/write/list/search tools without ambiguity.

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?

Provides explicit when-to-call guidance by requiring user consent unless the user already asked for deletion, and explains the meaning of note_confirmation_denied. It does not name alternative tools, but gives clear when-not-to-call conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/aic0t/ai-coach-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server