Skip to main content
Glama

Store Multiple Memories

store_memories
Idempotent

Save up to 50 memories in one batch operation, with per-item results and partial success support. Organize entries using tags, types, and importance levels for easier retrieval.

Instructions

Store multiple memories in a single batch operation. Returns per-item results with partial success support.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesMemories to store (1-50 items)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYes
errorNo
resultNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.4.0

TDQS

A4/5.0
Behavior4/5

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

The description goes beyond the idempotentHint annotation by disclosing partial success support and per-item results, which are important behavioral traits not captured in structured metadata. However, it does not explain what happens on partial failure or how failures are indicated in the output.

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?

Two sentences with no filler. The core purpose is front-loaded, and the key behavioral trait (partial success) is stated compactly in the second sentence. Every word earns its place.

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 definition is complete for a batch tool of this complexity: output schema exists, so return values need no description; annotations cover idempotency; and partial success is disclosed. More detail on failure-item identification would elevate it further, but 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 the items array and each nested property well-documented. The description adds no new parameter semantics but is not required to, given the schema's completeness. 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?

Description states a specific action ('Store multiple memories in a single batch operation'), clearly identifying the resource (multiple memories) and the batching behavior. It distinguishes itself from sibling store_memory via the 'multiple' and 'batch' framing, so an agent can select it correctly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use it (when storing multiple memories at once) but does not explicitly state when to use store_memory instead, nor does it mention any exclusion criteria or alternatives. Usage context is inferable but not explicit.

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