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Enrich LinkedIn Profile with Data

derrick_enrich_profile
Read-only

Enrich a LinkedIn profile URL with over 15 attributes including name, headline, company, location, and education to build complete contact data.

Instructions

Enrich LinkedIn Profile with Data Enrich profiles with +15 attributes from a LinkedIn profile URL Cost: 1 credit(s) per call. Category: enrich::linkedin::lead::essential

Adds +15 attributes (name, headline, company, location, summary, education, etc.). Requires the Derrick Chrome extension installed and connected — empty responses usually mean the extension is not connected. If the user only has a name, suggest: search_linkedin_profile (1) + enrich_profile (1) = 2 credits total.

Args: queryValue: LinkedIn profiles URL column

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryValueYesLinkedIn profiles URL column
Behavior4/5

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

Annotations indicate readOnlyHint=true and openWorldHint=true. The description adds cost, category, attributes list, and extension dependency, but does not disclose failure modes or rate limits beyond empty responses.

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?

The description is mostly concise with a clear structure (bullet points), but the title and first sentence are redundant.

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

Completeness4/5

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

Completeness is good given the single parameter and no output schema; lists attributes and extension requirement, but output format is not described.

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 100% (queryValue described as 'LinkedIn profiles URL column'), so the description repeats this without adding new semantic value.

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 it enriches LinkedIn profiles with +15 attributes from a URL, distinguishing it from siblings like search_linkedin_profile (search) and enrich_companies (companies).

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

Usage Guidelines5/5

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

Provides explicit guidance: requires Chrome extension, explains empty response meaning, and suggests an alternative workflow (search then enrich) if only a name is available.

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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