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nv_sync_conversation

Loads this person's earlier Sales Navigator message history (nv.syncConversation action). Call once per person. Do not call it to check for new messages – use get_inbox. After it completes, read the history with get_inbox and personUrl.

Linked API actions are queued into a cloud-browser workflow and may take several minutes. The server returns immediately after starting the workflow with {status: 'pending'|'running', pendingReason, workflowId, operationName, message}. To retrieve the final result, call get_workflow_result with the returned workflowId and operationName — it will long-poll until completion or the request budget elapses, then return either the final result or another in-progress snapshot. Do not retry the original tool while a workflow is still running; that creates duplicate queued work.

A pending workflow carries pendingReason: 'queued' means it is waiting its turn behind other work on the same account and will start within minutes. 'outsideWorkingHours' means the account has configured working hours and the workflow is parked until they reopen — possibly the next working day. In that case get_workflow_result returns immediately instead of polling, message states when the window opens, and you should report that to the user rather than looping.

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": {
      "personUrl": "<personUrl>"
    },
    "name": "nv_sync_conversation"
  }
}

Input Schema

NameRequiredDescriptionDefault
daysNoSyncing period, not the depth of history: how many days new messages keep being added to the loaded history, from 1 to 90. Defaults to 30. The whole conversation is read regardless. Counted from the moment the action starts running; a reply does not extend it. Syncing the same person again keeps the history already collected and never shortens the period.
personUrlYesThe LinkedIn URL of the person whose Sales Navigator message history you want to load (e.g., 'https://www.linkedin.com/in/john-doe')

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only declare readOnlyHint=false and openWorldHint=true, so the description carries the real disclosure burden and does: queued cloud-browser execution, multi-minute latency, immediate return with status/pendingReason/workflowId/operationName, and the long-poll handoff via get_workflow_result. It further explains 'queued' vs 'outsideWorkingHours' pending reasons and what to surface to the user, which annotations could never convey.

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?

Front-loaded with the purpose and the key routing rule, then layered behavior and pendingReason details in separate paragraphs. It is long, but each paragraph serves a distinct decision (whether to call, how to retrieve results, how to handle pending states), with little redundancy.

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?

No output schema exists, and the description compensates by describing the immediate return shape, the retrieval tool and arguments, and the two pendingReason branches with expected agent behavior. Nothing an agent needs to invoke and follow through on this async tool is missing.

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%, and the days parameter is documented in the schema with the same nuance (period not depth, 1–90, default 30, non-extending). The description adds no parameter meaning beyond that, so the baseline 3 applies.

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 (loads) and resource (this person's Sales Navigator message history) and names the underlying action (nv.syncConversation). It also distinguishes itself from get_inbox, so an agent can route correctly 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 Guidelines5/5

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

Gives explicit when-to-call ('call once per person'), when-not-to-call ('do not call it to check for new messages – use get_inbox'), and the follow-up sequence ('read the history with get_inbox and personUrl'). It also warns against retrying while a workflow runs, which is a usage rule, not just behavior.

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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