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Iridium: LinkedIn MCP Server

get_thread

Get Thread

Read a full LinkedIn conversation with one person, local-first, using no Unipile quota once synced. Returns the most recent messages oldest-first; pass before (the returned next_cursor) to scroll up into older history.

Args: chat_handle: chat_ handle from list_chats / search_chats before: next_cursor from a prior call, to load older messages limit: messages per page (default 10, max 50)

Responses:

200: Successful Response (Success Response) Content-Type: application/json

Input Schema

NameRequiredDescriptionDefault
limitNo
beforeNo
chat_handleYes

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations at all, the description carries the burden and does well: it discloses that reads are local-first with no Unipile quota consumed once synced, that messages return oldest-first, and that paging walks backward through history. It omits what happens when a thread has not been synced yet (does it trigger a sync, fail, or return empty), which is the main remaining behavioral unknown.

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

Conciseness3/5

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

The core prose and the Args block are tight and front-loaded, but the repeated 'Get Thread' header and the '### Responses: **200**: Successful Response (Success Response) Content-Type: application/json' boilerplate add no information and should have been stripped.

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

Completeness4/5

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

For a 3-parameter read tool with no annotations and no output schema, the description covers quota behavior, ordering, and pagination, which is what an agent needs to call it correctly. It does not describe the shape of the returned message objects or the next_cursor field itself, leaving the agent to discover the response structure at call time.

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 0%, so the description must compensate, and it does: every one of the three parameters is explained, including the source of each value. It adds real meaning beyond the schema by stating the max of 50 for `limit`, which appears nowhere in the schema (which only shows default 10).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Read a full LinkedIn conversation with one person') with a clear scope that separates it from list_chats/search_chats (which only supply the handle). It never explicitly contrasts with summarize_thread, the closest sibling that also operates on a thread, so it stops short of a clean 5.

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?

Gives concrete guidance on provenance ('chat_handle from list_chats / search_chats') and on when to use the `before` parameter ('pass the returned next_cursor to scroll up into older history'). No explicit when-not-to-use or exclusion against summarize_thread, so it is clear context rather than full routing.

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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