Skip to main content
Glama
Sign In
Mnemograph

Mnemograph

by tm42
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

branch_list

Retrieve all memory branches, which are filtered views of the knowledge graph, to navigate subsets of your AI memory.

Instructions

List all memory branches. Branches are filtered views of the knowledge graph. Main branch sees everything; other branches see filtered subsets.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "branch_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
include_archivedNoInclude archived branches

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.1

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description fully carries the transparency burden. It explains that branches are filtered views, which adds behavioral context beyond the input schema. However, it does not explicitly state that the operation is read-only or safe, nor does it disclose any side effects or permissions needed.

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 extremely concise with two short sentences. The first sentence states the primary purpose, and the second adds essential context about branches. No unnecessary words or repetition.

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?

Given the tool's simplicity (one optional boolean parameter, no output schema), the description is largely complete. It explains the concept of branches, which is critical context. It could optionally mention what the list returns (e.g., branch names), but this is not a major gap.

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% (the one parameter 'include_archived' is described in the schema). The tool description adds no additional meaning about parameters beyond what the schema already provides. Baseline score of 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?

The description clearly states the tool lists all memory branches, defines what branches are (filtered views), and distinguishes the main branch from others. This provides a specific verb ('list') and resource ('branches') with sufficient explanatory context to differentiate from sibling tools.

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

Usage Guidelines2/5

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

The description does not provide any guidance on when to use this tool versus alternatives (e.g., branch_current, branch_create). There are no explicit when-to-use or when-not-to-use instructions, leaving the agent without context for selection.

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

Deploy Server

Other Tools