Skip to main content
Glama

bootstrap

Load active project context, memory status, and skills catalog at session start to restore prior knowledge and avoid re-learning.

Instructions

Load UMEM status, active project context, and the skills catalog once per session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. Addedv0.6.1

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden. It does disclose the 'once per session' expectation, which is useful, but it does not explain whether loading has side effects, modifies session state, or requires any setup. The description partially informs behavior but leaves important traits undisclosed.

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?

A single, front-loaded sentence that conveys the action, the three object types, and the intended call frequency. Every word earns its place with no redundancy.

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?

For a zero-parameter tool with an output schema, the description gives the essential purpose and calling context. It is complete enough for correct invocation, though it stops short of describing what the output contains beyond implying the three loaded resources.

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 tool has zero parameters, so there is no parameter detail for the description to add beyond the schema. The baseline of 4 applies because parameter semantics are effectively irrelevant here.

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 names a specific action ('Load') and explicitly lists three concrete resources: UMEM status, active project context, and the skills catalog. This clearly distinguishes a combined session bootstrap from the narrower sibling tools like status, context, and list_skills.

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 phrase 'once per session' provides clear contextual timing for when to call the tool, but there is no explicit guidance about when not to use it, nor references to alternatives such as initialize_project or status. Usage is implied rather than fully specified.

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

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/YanAmorelli/universal-memory'

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