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horizonbymuneeb

linkedin-mcp-pro

get_conversation

Read a specific LinkedIn messaging conversation using the participant's public ID or the thread URN.

Instructions

Read a specific messaging conversation by participant public ID or thread URN.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
public_idNoVanity name of the other party
thread_urnNoAlternative: full thread URN
Behavior2/5

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

No annotations are provided, and the description only states 'Read' without disclosing behavioral traits such as read-only guarantee, authentication requirements, rate limits, or error handling. The description adds minimal behavioral context beyond the action.

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 a single, clear sentence with the verb and resource front-loaded. There is no unnecessary information.

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

Completeness2/5

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

Given no output schema and no annotations, the description lacks details about return format, error cases, or authorization. It does not provide enough context for an agent to reliably use the tool without additional knowledge.

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%, so baseline is 3. The description adds context about parameters (via identification methods) but does not add significant meaning beyond the schema descriptions.

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 action (Read) and resource (messaging conversation) and specifies two identification methods (public ID or thread URN), distinguishing it from sibling tools like get_inbox or send_message.

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 each parameter (public_id vs thread_urn) but does not explicitly state when not to use this tool or compare it to alternatives like get_inbox for listing conversations.

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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