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utsavagg2007

LinkedIn MCP Server

by utsavagg2007

format_post

Format raw content for LinkedIn posts by adding hashtags, line breaks, and emojis to improve readability and engagement.

Instructions

Format raw content with proper LinkedIn structure and hashtags.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
hashtagsNo
add_emojisNo
add_line_breaksNo
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only says 'format' without detailing what formatting entails (e.g., modifying content, adding structure), nor does it mention any side effects or prerequisites.

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, front-loaded sentence with no redundant information. Every word contributes to the core purpose.

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, no annotations, and 4 parameters with 0% schema coverage, the description is too brief. It fails to explain the transformation logic, return value, or constraints, making it incomplete for reliable tool invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so description must compensate. It mentions 'raw content' and 'hashtags' but does not explain the boolean parameters 'add_emojis' and 'add_line_breaks', leaving their impact unclear.

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 verb 'format' and the resource 'raw content' with a specific purpose ('proper LinkedIn structure and hashtags'). It effectively distinguishes itself from sibling tools like analyze_post and create_post by focusing on formatting.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

No usage guidelines are provided. The description does not specify when to use this tool versus alternatives or under what conditions, leaving the agent to infer its applicability.

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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