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LinkedIn MCP Server (Salesbot)

list_inbox_chats

Read-onlyIdempotent

List recent LinkedIn inbox conversations (chats) in real time. Returns chat_id (used by get_chat_messages / reply_to_chat), the other attendee's provider id, unread count and last-message timestamp. Message preview text is not always provided by LinkedIn in the list — call get_chat_messages with the chat_id to read the actual messages. profile_id is optional — defaults to the active profile.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax chats (1-50, default 15)
cursorNoPagination cursor from a previous call. Optional.
profile_idNoUUID of the user_profile to read from. Optional — defaults to active profile.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds value by noting real-time nature, that message preview text may be missing, and that profile_id defaults to active profile. No contradictions.

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

Conciseness5/5

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

The description is concise, front-loaded with purpose, and includes essential caveats (like missing preview text). No unnecessary words, every sentence adds value.

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 simple read-only list tool with three optional parameters and no output schema, the description provides sufficient detail: return fields, usage hints, parameter defaults, and pagination cursor. No gaps.

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 100%; parameters have clear schema descriptions. The description does not add significant new meaning beyond the schema, e.g., for limit and cursor. Baseline 3 is appropriate.

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 clearly states the tool lists recent LinkedIn inbox conversations in real time, specifies exact return fields (chat_id, attendee provider id, unread count, last-message timestamp), and distinguishes from sibling tools by mentioning chat_id usage in get_chat_messages and reply_to_chat.

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?

The description explains when to use this tool (list chats) and when to use alternatives (get_chat_messages for actual message text). It also notes that profile_id defaults to active profile, providing clear context. However, it does not explicitly exclude other tools like list_lead_messages.

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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TDQS

A4.2/5.0
Disambiguation4/5

Most tools have distinct purposes, but there is some overlap among search tools (search_job_postings, search_google_xray, search_linkedin_people, search_web) and messaging tools (send_connection_request, send_linkedin_message, reply_to_chat). However, detailed descriptions clarify the differences.

Naming Consistency5/5

All tools follow a consistent verb_noun snake_case pattern (e.g., add_contacts_to_campaign, list_campaigns). No mixing of conventions.

Tool Count3/5

48 tools is high but justifiable given the broad domain (LinkedIn outreach, CRM, campaigns, job postings, etc.). However, some tools could be consolidated (e.g., multiple search tools).

Completeness5/5

The tool set covers the entire workflow: searching, connecting, messaging, campaign management, CRM operations (fields, stages, tasks, notes), job postings, and posting. No obvious gaps.