Skip to main content
Glama
SAIHM-Admin

@saihm/mcp-server-pro

Official
by SAIHM-Admin

Join SAIHM (activate free memory)

saihm_join

Generate a sovereign memory key and initiate a one-time human approval to activate free persistent memory for an agent. Returns a URL and short code for user approval.

Instructions

Activate free SAIHM persistent memory for this agent. Call this when the user asks to join, sign up for, or set up SAIHM. It self-generates a sovereign memory key on this device and starts a one-time human approval — the tool returns a URL and short code for the user to open and enter. After the user approves, call saihm_join again to finish; the memory tools then work. No payment and no website visit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

The description adds behavioral context beyond annotations: it explains the two-step process with human approval, generation of a sovereign key, and the return of a URL/code. This complements the openWorldHint and idempotentFalse annotations. However, it does not mention potential side effects (e.g., calling again after joining), though that is minor given the setup nature.

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 four sentences long, front-loading the core action. Every sentence adds value: function, when to call, step-by-step process, and a note about no payment. It is well-structured and free of fluff.

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 no output schema and no parameters, the description covers the activation process completely: triggers, human approval, return value, and post-approval steps. It could mention error states (e.g., if approval fails), but overall it is sufficiently complete for agent use.

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 input schema has zero parameters and schema coverage is 100%, so the description does not need to add parameter info. According to guidelines, 0 parameters yields a baseline of 4, which is appropriate here as there is no missing information.

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: 'Activate free SAIHM persistent memory for this agent.' It uses a specific verb ('Activate'/'Join') and resource ('SAIHM persistent memory'), and the context of sibling tools (e.g., saihm_remember, saihm_forget) distinguishes this as the setup/join tool, making it unambiguous.

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?

The description explicitly says 'Call this when the user asks to join, sign up for, or set up SAIHM,' providing clear when-to-use guidance. It also outlines a two-step process (call first, then after approval call again). It does not explicitly state when not to use (e.g., if already joined), but the scenario is well-defined and distinct from siblings.

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/SAIHM-Admin/saihm-mcp-server-pro'

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