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mcp_engram_batch_remember

Store multiple memories at once using an array of concept-text pairs. Reduces latency by batching entries into a single call instead of individual remember() operations.

Instructions

Store multiple memories in a single call. Faster than calling remember() N times.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entriesYesArray of {concept, text} objects to store
Behavior1/5

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

No annotations exist, and the description only mentions speed, not behavioral details like atomicity, failure handling, batch size limits, or side effects. As a write operation, critical transparency is missing.

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 long, front-loaded with the primary purpose, and contains no superfluous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a batch write tool, the description lacks essential context such as return value, error behavior, maximum entries, or whether the operation is transactional. Without output schema, more explanation is needed.

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 covers 100% of parameters, describing the 'entries' array and its object structure. The description adds no further semantic value beyond the schema, meeting the baseline.

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 stores multiple memories in a single call, distinguishing it from the singular 'remember' sibling by emphasizing speed. Verb+resource is specific.

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 description implies using this tool when multiple memories need to be stored for efficiency, compared to calling remember() repeatedly. However, it does not specify when not to use it or any prerequisites.

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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