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vectr_forget

DestructiveIdempotent

Delete working-memory notes by note ID or clear all notes for a workspace. Snapshots are preserved; only active notes are removed.

Instructions

Delete working-memory notes. Pass note_id to delete ONE note — the usual case, when a note is stale or superseded (ids are the [#N] shown by vectr_recall). Pass all=true to irreversibly clear EVERY note for this workspace (e.g. after a large refactor). Calling with no arguments deletes nothing. Snapshots are preserved — only active notes are removed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
allNoSet true to delete ALL notes for this workspace. Irreversible.
note_idNoID of the single note to delete (the [#N] id from vectr_recall)
Behavior5/5

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

Annotations already indicate destructiveHint=true, but the description adds critical details: snapshots are preserved (only active notes removed), the all=true option is irreversible, and no-arg call does nothing. No contradictions with 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?

The description is concise at four sentences, each serving a distinct purpose: overall function, note_id usage, all=true usage, and edge cases (no args, snapshots). It is front-loaded with the purpose and efficiently structured.

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 tool with no output schema, the description fully covers behavior for both parameters, the no-argument case, and side effects (snapshot preservation). It references a sibling tool for IDs, making it self-contained and complete for correct invocation.

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?

Schema descriptions are 100% covered, but the description adds practical meaning: note_id is the [#N] from vectr_recall, and all=true is irreversible. This helps the agent understand the context and consequences of each parameter beyond the schema.

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 deletes working-memory notes. It distinguishes between deleting one note by ID (the usual case) and deleting all notes (for refactoring). It references the sibling tool vectr_recall for note IDs, making the purpose specific and unambiguous.

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?

Explicit guidance is provided: use note_id for stale or superseded notes, use all=true after a large refactor, and calling with no arguments deletes nothing. This helps the agent decide when and how to invoke the tool, distinguishing it from other memory tools like vectr_recall or vectr_remember.

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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