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mnemosyne_agenda_remove

Delete calendar appointments permanently by exact IDs from the agenda list. It confirms each removed item by title and start time; there is no archive.

Instructions

REMOVE appointments from the human's calendar. Read them with mnemosyne_agenda_list first and pass the ids: this tool never matches by title or by date, because "remove my meetings on Thursday" is how an agent removes the wrong Thursday. THERE IS NO ARCHIVE - unlike a To-do task, a removed appointment is gone, so the answer names each one it removed by title and start time, for the human to check. A repeating appointment is removed as the whole SERIES; the calendar has no way to cancel a single occurrence. Works with the app closed on a dev install (the headless daemon reads the file); an npm install has no daemon and needs the app running. Scope agenda:write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_idsYesThe appointment ids to remove, exactly as mnemosyne_agenda_list printed them in brackets. Up to 50.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.10.0

TDQS

A5/5.0
Behavior5/5

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

With no annotations, the description carries the full burden of behavioral disclosure and does so thoroughly: removal is permanent with no archive, repeating appointments are removed as a whole series, and the tool names each removed appointment by title and start time in its response. The headless-daemon requirement is also disclosed, making side effects visible before invocation.

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 dense but every sentence contributes a distinct operational fact. The core instruction to read first and pass ids is front-loaded, and the remaining caveats are ordered by practical importance with no filler or redundancy.

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 one-parameter destructive action with no output schema, the description covers the input source, matching rules, deletion permanence, recurrence behavior, runtime prerequisites, and what the response will report. Nothing critical is missing for an agent to invoke it safely.

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

Parameters5/5

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

The schema already documents the ids parameter well, but the description adds important semantic constraints: ids must come from mnemosyne_agenda_list, matching is strictly by id rather than by title or date, and there is a concrete warning against natural-language date matching. This adds real meaning beyond the schema's type and count.

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 states a clear, specific verb and resource: REMOVE appointments from the human's calendar. It also distinguishes this tool from alternatives by explicitly saying it never matches by title or date, which makes the purpose unmistakable even among agenda siblings.

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?

It tells the agent to read appointments with mnemosyne_agenda_list first and pass the returned ids, and warns against title- or date-based matching with a concrete failure example. It also addresses repeating appointments and the dev-install versus npm environment differences, which leaves no ambiguity about how and when to use it.

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