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Set LinkedIn warmup

set_linkedin_warmup

disabled=True opts out of the ramp (full daily volume right away — only safe on an already-warm account); disabled=False re-enables it (resumes any active ramp). Returns {success, warmup_disabled, is_ramping_up}, the recomputed ramp state. Dict with success, warmup_disabled, and is_ramping_up.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "disabled": "<disabled>"
    },
    "name": "set_linkedin_warmup"
  }
}

Input Schema

NameRequiredDescriptionDefault
disabledYesTrue to skip warmup (full volume now), False to re-enable the ramp.
on_behalf_ofNoA teammate's email, or an agency client's from list_agency_clients, to run this call in that account: their agents, settings, connected accounts, and credits. Omit it to act on your own account.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / on_behalf_of / description
      Previous value: -"An agency client's email, from list_agency_clients, to run this call in that client's account: their agents, settings, connected accounts, and credits. Omit it to act on your own account."New value: +"A teammate's email, or an agency client's from list_agency_clients, to run this call in that account: their agents, settings, connected accounts, and credits. Omit it to act on your own account."
  2. Changed1 schema field changed
    • addedInput schema / properties / on_behalf_of
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "description": "An agency client's email, from list_agency_clients, to run this call in that client's account: their agents, settings, connected accounts, and credits. Omit it to act on your own account."
      +}
  3. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the annotations, the description discloses the practical consequence of each setting: disabling sends full daily volume immediately and is only safe on an already-warm account, while re-enabling resumes any active ramp. It also states the returned fields and recomputed ramp state, which is useful behavioral context for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The key action and conditions are front-loaded and the description is appropriately sized. There is minor redundancy because the return fields are listed in prose and then repeated in the returns section.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter mutation tool with no output schema, the description covers when to call it, what each setting does, the safety caveat, and the return shape. Nothing essential for selecting or invoking it correctly appears to be missing.

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?

Schema coverage is 100%, so the schema already documents both parameters. The description still adds meaning for `disabled` by explaining the safety implication of opting out and the resume behavior of opting back in, though it does not elaborate on `on_behalf_of` beyond what the schema provides.

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 states a specific verb and resource: turning the new-account warmup ramp off or on for the user's LinkedIn account. It clearly distinguishes this state change from merely describing UI or other LinkedIn settings, so an agent can identify the action without opening the schema.

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?

It gives explicit triggers: call when the user asks to skip/disable warmup or re-enable it, and explicitly says to actually make the change rather than just describe the UI. It also warns that disabling is only safe on an already-warm account, though it does not name alternative tools for related LinkedIn limit settings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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