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polymnemo

Remember

remember

Store a memory for later semantic recall.

Large content is split into smaller chunks on write (one vector each), so this may create several ids. namespace groups memories (defaults to the shared namespace); tags/source are optional metadata.

Returns {ids, chunks, namespace}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNo
sourceNo
contentYes
namespaceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already mark the tool as a non-read-only, non-destructive write. The description adds meaningful behavioral context: large content is chunked into multiple vectors/ids on write, namespace defaults to the shared namespace, and the return object is {ids, chunks, namespace}. These are non-obvious side effects an agent needs to know.

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 short and each sentence earns its place: purpose, chunking side effect, parameter semantics, and return shape. It is front-loaded with the primary action and contains no redundant filler.

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 write tool with one required parameter, this is complete: it names the action, the chunking side effect, namespace behavior, optional metadata, and the exact return shape. An agent has enough context to invoke it correctly without needing additional assumptions.

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?

Schema description coverage is 0%, so the description must carry parameter meaning. It explains that namespace groups memories and defaults to the shared namespace, and that tags/source are optional metadata; content is sufficiently implied by 'store a memory'. This compensates for missing schema descriptions, though explicit semantics for every parameter are not fully spelled out.

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 first sentence names the exact operation and resource ('store a memory') and the purpose ('for later semantic recall'), clearly distinguishing this write path from sibling retrieval/deletion tools like recall, get_memory, list_memories, and forget.

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 purpose sentence implies when to use the tool (persist a memory for later semantic recall), but it does not explicitly contrast it with siblings such as recall or update, and it states no when-not conditions. The guidance is usable but relies on inference.

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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