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tiagoyamashita

openlinkedinmcp

get_job_applications

Retrieve and display your applied jobs by opening the My Jobs view in LinkedIn and extracting the visible application details from the current browser session.

Instructions

Open My Jobs / applications view and return visible text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It implies the tool navigates to a page and scrapes text, hinting at mutating navigation state (switching views), but doesn't disclose whether it changes the user's session, requires authentication, or has side effects like opening a new page. The term 'Open' suggests navigation but no preconditions are stated.

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?

Single sentence, front-loaded with the action ('Open My Jobs / applications view') and the return behavior ('return visible text'). No wasted words. Could arguably be more descriptive, but it's efficiently 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?

For a no-parameter, no-annotation, no-output-schema tool that navigates and scrapes, the description is thin. It doesn't state whether authentication is required (unlike linkedin_auth_status sibling), what the returned text precisely covers, or whether it modifies browser state. Sibling get_notifications likely follows a similar pattern, so more context would help.

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?

The tool has 0 parameters, so the baseline is 4. The description adds minimal but reasonable context about what the tool does without parameters — it's a no-argument action that opens a view and reads text. Nothing more is needed since there are no parameters to document.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Open... applications view and return visible text'), which clearly identifies the action. It distinguishes from siblings like get_saved_jobs and get_job since it's about the applications view. However, it doesn't elaborate on what 'visible text' means or which applications are included (all applications, only ones in a list?).

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 on when to use this vs alternatives. Siblings include get_saved_jobs, get_job, search_jobs, get_pending_invitations — but the description offers no when-to-use or when-not-to-use guidance. Context is implied ('return visible text' suggests browsing the applications page) but not explicit.

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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