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renzynx

@renzynx/memory-mcp

by renzynx

save_memory

Store facts, preferences, and context with a category so you can recall them later. Organize information at save time to make future retrieval straightforward.

Instructions

Persist a memory with categorization. Use for storing facts, preferences, context, or any information that should be recalled later.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesThe memory content to store
categoryYesCategory for organization (e.g., 'preferences', 'facts', 'context', 'projects')

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.1.0

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only restates the persist action and mentions categorization; it does not disclose whether saving overwrites or duplicates existing memories, whether categories must pre-exist, or what response/confirmation is returned. This adds little beyond what the schema already communicates.

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 and front-loaded: the action is stated in the first sentence, followed by concrete use cases in the second. There is no redundancy or filler.

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?

This is a low-complexity tool: two scalar required parameters, no nested objects, no output schema. The description plus schema are sufficient for an agent to understand what to pass and why. The main missing context is behavior around duplicates or overwrites, but for selecting and invoking the tool, the information is adequate.

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 both content and category adequately described and category examples provided. The description adds no new parameter-level meaning beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('persist') and resource ('a memory') and clarifies the kinds of information to store (facts, preferences, context). It does not explicitly contrast with sibling tools, but 'search' and 'list' are clearly different operations, so differentiation is implicit.

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?

It gives clear usage context: use for storing facts, preferences, context, or any information that should be recalled later. It doesn't explicitly say when not to use it or direct users to search_memories for retrieval, but the storing-vs-searching relationship is implied clearly enough.

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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