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memory_store_batch

Store multiple durable project memories in a single batch, with optional context, confidence, and metadata fields.

Instructions

Store multiple durable project memories in a single batch.

Each item in the list should be a dict with 'content' and optional 'memory_class', 'context', 'confidence', 'provenance', and 'metadata' keys.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
memoriesYes
Behavior2/5

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

Without annotations, the description carries the full burden of behavioral disclosure, but only says the memories are 'durable' and stored as a batch. It does not mention whether writes overwrite existing memories, what happens on partial failure, whether any permissions are required, or what is returned to the caller.

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 two sentences, front-loads the purpose, and then gives the necessary item-shape guidance without unnecessary padding. Every sentence 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?

Given the single-parameter schema and no output schema, the description covers the main operational need: what to pass in each memory item. It is not fully complete because the semantics and types of optional fields like memory_class, confidence, provenance, and context are left undefined, but the core invocation detail is covered.

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?

The schema provides only an array of untyped objects, so the description compensates by specifying that each item must be a dict with 'content' and optional keys like 'confidence' and 'metadata'. This is useful, though it does not explain the meaning or expected type of each optional key.

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 uses the specific verb 'store' with the resource 'durable project memories' and the qualifier 'in a single batch'. This clearly distinguishes it from sibling memory_store by emphasizing batch operation, making the tool's purpose immediately identifiable.

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?

The phrase 'multiple ... in a single batch' provides clear context for when this tool should be used, i.e., when storing several memories at once. However, it does not explicitly mention memory_store as the single-item alternative or state when not to use this tool, so it lacks explicit exclusions.

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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