Skip to main content
Glama
joaovaleri

linkedin-mcp

by joaovaleri

linkedin_add_volunteer

Add a volunteer experience to your LinkedIn profile, including organization, role, cause, and optional dates.

Instructions

Add a volunteer experience to the LinkedIn profile

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orgYesOrganization name
roleYesRole/position
causeNoCause category
endYearNo
endMonthNo
isCurrentNo
startYearNo
startMonthNo
descriptionNo
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It fails to mention required authentication, side effects (e.g., duplicates), or any constraints beyond adding a volunteer entry.

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 description is a single concise sentence, which is efficient but overly minimal for a tool with 9 parameters. It earns no waste but could be better structured.

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 9 parameters, the description is highly incomplete. It does not explain return values, required fields, or behavior when parameters are omitted.

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 description coverage is low (33%). The description does not elaborate on any parameters or their relationships, leaving agents to infer from parameter names alone.

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?

Description clearly states the verb 'Add' and specific resource 'volunteer experience to the LinkedIn profile', unambiguously distinguishing it from sibling tools like 'linkedin_add_experience' for paid work.

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 guidance is provided on when to use this tool versus alternatives such as 'linkedin_add_experience' or 'linkedin_add_organization'. The description lacks any context about prerequisites or use cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/joaovaleri/linkedin-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server