Get setup steps
get_setup_stepsThe 5-step flow to connect an AI agent to the real Apex MCP server: LeadShark account → LinkedIn → 72h Apex unlock → mount MCP → first Loadout.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_setup_stepsThe 5-step flow to connect an AI agent to the real Apex MCP server: LeadShark account → LinkedIn → 72h Apex unlock → mount MCP → first Loadout.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full behavioral burden. It is transparent that the tool returns a static step list (not a mutation) and previews the step sequence, but it says nothing about whether the steps are personalized to the caller, whether they can be re-fetched, or what the response looks like.
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 sentence, front-loaded with the resource and then the enumerated steps. Nothing redundant and 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?
With no parameters and no output schema, the description's step enumeration effectively previews the return value, which is what an agent needs. Minor gap: no indication of the format or whether the steps include links/IDs.
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 takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The schema is trivially complete.
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?
States a specific resource ('the 5-step flow to connect an AI agent to the real Apex MCP server') and even enumerates the steps, so the agent knows exactly what content comes back. It does not differentiate itself from the sibling 'about_apex', which an agent could reasonably confuse it with for onboarding-type content.
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?
Usage is implied by the name and content (call this to get the connection flow), but the description never says when to prefer it over 'about_apex' or 'first_plays', nor does it state prerequisites such as needing an account first. Adequate but leaves routing to inference.
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.