get_setup_stepsThe 5-step flow to connect an AI agent to the real Apex MCP server: LeadShark account → LinkedIn → 24h Apex unlock → mount MCP → first Loadout.
| 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 provided, the description must carry the behavioral transparency burden. It discloses the content (the 5-step flow) but does not explicitly state whether the tool is read-only, has side effects, or requires any setup. For a simple informational get tool, this is adequate but not rich.
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?
The description is a single, compact sentence that is front-loaded with the core purpose ('5-step flow') and efficiently enumerates the steps. Every word contributes without redundancy.
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 no-parameter tool with no output schema and no annotations, the description is self-contained and fully explains what the tool returns (the exact 5-step flow). It leaves no meaningful gap in understanding the tool's purpose and content.
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 the schema is empty, so the baseline is 4. The description adds no parameter-specific information because none is needed, and there is no ambiguity to resolve.
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 tool returns the 5-step flow for connecting an AI agent to the real Apex MCP server, listing the exact steps. This is specific and distinguishable from the sibling tools by content, though it does not explicitly name alternatives.
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 description implies usage when one needs to set up an AI agent connection to Apex MCP, but it provides no explicit guidance on when to choose this tool over siblings like about_apex or first_plays. There is no mention of exclusions or prerequisites.
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.
Each tool has a clearly distinct purpose: one explains what Apex is, one provides starter prompts, and one outlines setup steps. There is no overlap or ambiguity between them.
All names use snake_case and are readable, but the patterns vary: 'about_apex' uses a preposition, 'first_plays' is adjective+noun, and only 'get_setup_steps' follows a verb_noun pattern. This mixed convention is functional but not fully consistent.
Three tools is exactly right for a discovery stub — enough to cover the essential orientation, usage, and setup information without unnecessary bloat.
The discovery surface is complete for its purpose: it tells the user what the product is, what to do first, and how to connect the real server. There are no missing steps for this narrow scope.