Skip to main content
Glama
loaditoutadmin

loaditout-mcp-server

Official

save_memory

:

Instructions

Save a key-value pair to persistent agent memory that survives across sessions. Returns a confirmation with the stored key. Use this to remember installed skills, user preferences, project context, or recent search queries. Call this proactively whenever you learn something worth remembering. Do not store sensitive data like passwords or API keys. Retrieve saved memories with recall_memory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesMemory key name. Examples: 'installed_skills', 'preferred_categories', 'project_context'
valueYesAny JSON-serializable value to store (string, array, object, number, etc.)
typeYesCategory of this memory entry
Behavior4/5

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

With no annotations provided, description carries full burden and discloses key traits: persistence ('survives across sessions'), return value ('Returns a confirmation'), and security constraints ('Do not store sensitive data'). Minor gap on overwrite behavior/idempotency or size limits prevents a 5.

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?

Six sentences total, each earning its place: purpose, return value, use cases, invocation timing, security constraint, and sibling cross-reference. Front-loaded with core action and no redundant words.

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?

Comprehensive for a 3-parameter tool lacking annotations and output schema. Compensates for missing output schema by describing return value ('confirmation with the stored key'). Security warning and persistence guarantee provide necessary operational context. Would benefit from explicit mention of key overwrite behavior.

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 coverage is 100% with detailed descriptions and examples for all three parameters. Description provides usage context mapping to parameter values (e.g., 'installed skills' maps to type='install') but does not add technical semantics beyond what the schema already provides. Baseline 3 is appropriate.

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?

Opens with specific verb 'Save' and clear resource 'key-value pair to persistent agent memory'. Explicitly distinguishes from sibling 'recall_memory' in final sentence, clearly delineating the write vs read relationship.

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

Usage Guidelines5/5

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

Provides explicit when-to-use ('Call this proactively whenever you learn something worth remembering'), concrete examples ('installed skills, user preferences'), when-NOT-to-use constraint ('Do not store sensitive data'), and names the alternative tool ('Retrieve saved memories with recall_memory').

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/loaditoutadmin/loaditout-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server