how_to_connect
How to connect an agent to a member's account: the authenticated endpoint, token setup, scopes, and the tool list.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
How to connect an agent to a member's account: the authenticated endpoint, token setup, scopes, and the tool list.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must convey behavior on its own. It signals an informational tool by listing documentation topics, but it never explicitly states that the tool only returns guidance, has no side effects, or what the response format is. This is moderately transparent but not fully disclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One concise sentence with a front-loaded topic and a colon-delimited list of what the guide covers. Every word contributes useful information and there is no filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter informational tool, the description covers the main content areas and is sufficiently complete. The only minor gap is the lack of an explicit statement about the output format, but that is not essential for this tool type.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and schema description coverage is 100%, so there is nothing for the description to explain about parameters. The mention of 'the tool list' gives a small hint of expected content, meeting the baseline for a parameterless tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the topic: connecting an agent to a member's account, and enumerates the covered content: authenticated endpoint, token setup, scopes, and tool list. It lacks an explicit verb like 'returns' or 'explains' and does not differentiate from about_async, so it stops short of 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The intended usage is implied: call this tool when an agent needs instructions on connecting to a member's account. However, there is no explicit guidance about when not to use it, nor any comparison with the sibling tool about_async.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The two tools have clearly distinct purposes: one explains what the server is and capabilities, the other provides connection instructions. While both are informational, an agent can easily differentiate them.
Both names are lowercase with underscores and represent descriptive phrases rather than verb_noun conventions. The naming style is consistent between the two, but not aligned with typical action-oriented tool naming.
A server with only two informational tools is very thin. The scope may be intentionally narrow (onboarding guidance), but as an MCP server it offers almost no functional surface, making the count feel insufficient.
The tools provide only descriptions and instructions for connecting, but there is no actual tool to perform any action or integration. The surface is severely incomplete for any practical task, leaving agents with no actionable capability.