Get draft details
get_draftRetrieves the full content of a LinkedIn post draft, including whether it targets the personal profile or a company page.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| draftId | Yes | The draft identifier |
get_draftRetrieves the full content of a LinkedIn post draft, including whether it targets the personal profile or a company page.
| Name | Required | Description | Default |
|---|---|---|---|
| draftId | Yes | The draft identifier |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description adds useful return-content context (profile vs company page targeting) but omits behavior on missing/invalid drafts or any format details, so it only modestly exceeds the annotation baseline.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence with the primary action first and the return-content clause second; no filler or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter read tool with safety annotations and no output schema, the description covers purpose and return content adequately. It would be marginally stronger with a note on missing-draft behavior, but nothing essential is missing for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% with a single required draftId parameter, so the schema fully documents the input. The description adds no further parameter semantics, which is the expected baseline when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource (retrieves a LinkedIn post draft) and adds scope detail about what the content includes (profile vs company page target). It is readily distinguishable from siblings like list_drafts or get_post, but it does not explicitly name those siblings to reinforce the distinction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no statement of when to use this tool versus alternatives such as list_drafts (for enumeration) or update_draft, nor any prerequisite or eligibility conditions. Usage must be inferred entirely from the purpose sentence.
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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