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Update LinkedIn account settings

update_linkedin_account_settings

Change AI auto-replies, invite / follow-up pitch, CTA, signature, reply delays/limits for ONE LinkedIn account (applies to all campaigns and SDR processes using it). Send only changed fields. To switch AI replies off for a single campaign use update_campaign settings.linkedinAutoReplyDisabled. No credits.

Input Schema

NameRequiredDescriptionDefault
toneNo
enabledNoAI auto-replies on/off
agent_idNo
timezoneNo
account_idYes
invite_ctaNo
invite_toneNo
calendly_urlNoBooking link offered in replies
contact_infoNo
followup_ctaNo
invite_pitchNo
product_pitchNo
working_hoursNo
followup_pitchNo
signature_modeNo
signature_textNo
invites_enabledNo
followup_enabledNo
daily_reply_limitNo
signature_enabledNo
custom_instructionsNo
reply_delay_max_minutesNo
reply_delay_min_minutesNo
invite_custom_instructionsNo
followup_custom_instructionsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

No annotations, so the description carries the burden — and it discloses the two traits that matter most: blast radius (changes apply to all campaigns and SDR processes using the account) and cost (no credits). It omits permissions/auth requirements and whether invalid field combinations (e.g. min > max delay) are rejected, keeping it short of a 5.

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?

Four tight sentences with no filler; the scope and blast radius are front-loaded before the alternative-tool pointer. Slightly dense but every clause adds information.

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

Completeness3/5

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

For a 25-parameter, nested-object mutation with no annotations and no output schema, the description covers selection and blast radius but says nothing about the response, prerequisite reads (get_linkedin_account_settings), or validation/limit interplay. Adequate, with visible gaps for such a wide tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 8% across 25 parameters (only 'enabled' and 'calendly_url' are annotated), so the description must compensate. It does group several concepts (pitches, CTAs, signature, delays/limits) but leaves many params — timezone, contact_info, working_hours, agent_id, custom_instructions, tone/signature_mode enums — unexplained, so it partially but not fully closes the gap.

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?

States a specific verb (change/update) and resource (settings of ONE LinkedIn account) and enumerates the domains it touches: AI auto-replies, invite/follow-up pitch, CTA, signature, reply delays/limits. The 'ONE LinkedIn account' scope plus the explicit pointer to update_campaign cleanly separates it from the campaign-level sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives the key usage rule ('Send only changed fields' = partial update) and an explicit alternative with its condition: use update_campaign settings.linkedinAutoReplyDisabled to disable AI replies for a single campaign. That is exactly the when/when-not guidance an agent needs.

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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