Skip to main content
Glama
AbdulqaderAhmed

memory-manager-mcp

Start session

start_session

Start tracking an agent working session for a project, enabling persistent memory and context sharing across clients. Call when beginning work.

Instructions

Start tracking an agent working session for the project. Call when beginning work; call finish_session when done.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdNoIdentifier of the calling agent/client, e.g. "cursor", "vscode", "claude-cli".
agentNameNoHuman-friendly client name, e.g. "Cursor".
workspacePathNoWorkspace directory of the project. Defaults to the server working directory.

Schema Changelog

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

  1. First observedv0.5.0

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It communicates that a session begins and is tracked, and implies persistence until finish_session, but does not disclose side effects, idempotency, prerequisites (e.g., whether a project context must already exist), or behavior when a session is already active. Basic transparency is present, but richer details are missing.

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?

Two sentences, front-loaded with the core action, and every word earns its place. It avoids redundancy and clearly communicates the essential purpose and usage in a compact form.

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 simple, low-complexity tool with fully documented schema and no output schema, the description is nearly sufficient. It explains what the tool does and when to use it, though it could add a brief note on prerequisites or idempotency. Given the simplicity, this is a minor gap rather than a major omission.

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%; all three optional parameters (agentId, agentName, workspacePath) have clear descriptions in the schema. The tool description adds no additional semantic value to the parameters, so 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?

The description clearly states the tool's purpose with a specific verb ('Start tracking') and resource ('an agent working session for the project'). It also distinguishes itself from the sibling tool 'finish_session' by explicitly saying 'call finish_session when done', making the opposite action clear.

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 guidance ('Call when beginning work') and names the complementary tool to use at the end ('call finish_session when done'). This gives the agent clear direction on the session lifecycle and the primary alternative.

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/AbdulqaderAhmed/memory-manager-mcp'

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