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DarkLvrd

agentic-linkedin

by DarkLvrd

Update profile

update_profile

Edits LinkedIn headline, about, or top skills, then returns the verified profile to confirm changes.

Instructions

Edits headline, about, or top-skills and returns the verified profile (read-back).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aboutNo
headlineNo
topSkillsNo
Behavior3/5

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

With no annotations provided, the description carries the full disclosure burden. It does reveal that the operation edits fields and returns a verified profile read-back, which is useful, but it omits other behavioral details such as whether the update is partial or wholesale, and whether any permissions or side effects apply.

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?

A single sentence front-loads the action, names the editable fields, and states the return behavior. There is no filler or repetition of schema details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple optional-parameter mutation, the description covers the basics and the return value. However, it is ambiguous how topSkills interacts with the dedicated skill-management siblings, and in the absence of annotations or an output schema, a bit more context about partial-update semantics would be needed for fully confident invocation.

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

Parameters3/5

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

Schema description coverage is 0%, so the description must compensate. It maps all three properties ('headline', 'about', 'topSkills') into readable semantics, but adds no deeper meaning about format, constraints, optionality, or whether an omitted field is left unchanged.

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 states a specific verb ('Edits'), the exact target resource ('headline, about, or top-skills'), and the resulting behavior ('returns the verified profile (read-back)'). This clearly differentiates update_profile from profile-viewing and post-editing siblings.

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 the many skill-related siblings such as add_skill, remove_skill, and reorder_skills. An agent is left to infer whether topSkills replacement is the intended route or whether those sibling tools should be used instead.

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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