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Iridium: LinkedIn MCP Server

get_draft_detail

Get Draft Detail

Everything Iridium knows about one connection-note draft: the full note text, the angle it was written from, and the profile it is addressed to. Read-only.

Use this when the user asks why a draft says what it says, or wants the full text that list_drafts only previews.

Args: handle: draft_ handle from list_drafts.

Responses:

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

Input Schema

NameRequiredDescriptionDefault
handleYes

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations present, the description carries the burden and does state 'Read-only' plus what content is returned, which is the key safety signal for a read tool. It does not cover failure modes (missing/invalid handle, cross-account access), which is the remaining gap.

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 effect and the return contents, then usage guidance; every prose sentence earns its place. Deducted for the redundant 'Get Draft Detail' header and the stray '### Responses: 200' boilerplate, which add nothing and mimic an output schema that doesn't exist.

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 one-parameter read tool with no output schema, the description says what comes back and how to get the handle, which is close to sufficient. Missing only the failure/edge behavior an agent would want when a handle is rejected.

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; it does so by naming the parameter, giving its expected format ('draft_ handle') and its source (from list_drafts). That is enough for correct invocation, though it doesn't describe error behavior for a bad or stale handle.

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+resource (get one connection-note draft's full detail) and enumerates the payload: full note text, the angle it was written from, and the addressed profile. It also explicitly contrasts with list_drafts previews, so an agent can pick between them without opening either 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 two concrete trigger conditions ('user asks why a draft says what it says' or 'wants the full text') and names the alternative (list_drafts) plus why it is insufficient (it only previews). That is explicit when-to-use with the alternative surfaced.

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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