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Enrich LinkedIn Profile with Followers & Connections Count

derrick_linkedin_profile_followers_count
Read-only

Retrieve followers, connections count, and verified status for LinkedIn profiles to qualify influencers and assess reach.

Instructions

Enrich LinkedIn Profile with Followers & Connections Count Enrich profiles with follower & connections count Cost: 1 credit(s) per call. Category: enrich::linkedin::lead

Returns followers, connections count, and creator/verified status. Useful for qualifying influencers or checking notoriety. Requires the Derrick Chrome extension.

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?

Beyond the readOnlyHint annotation, the description discloses cost (1 credit per call), required software (Chrome extension), and specific return data (followers, connections, status). This adds behavioral context.

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 concise and well-structured, with a clear summary, bullet-like details, and cost. Some redundancy in repeating the title in the description is minor.

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?

For a simple tool with one parameter and no output schema, the description adequately explains purpose, input, return values, prerequisites, and cost. It covers all necessary context.

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?

The description repeats the schema's parameter description verbatim without adding new semantic details. With 100% schema coverage, this meets the baseline but does not enhance parameter understanding.

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

Purpose4/5

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

The description clearly states the tool enriches LinkedIn profiles with followers and connections count, and explicitly lists return values. It distinguishes from siblings by focusing on a specific metric, but could more explicitly contrast with derrick_enrich_profile.

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

Usage Guidelines3/5

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

The description provides use cases (qualifying influencers, checking notoriety) and prerequisites (Chrome extension), but does not explicitly compare with alternative tools or state when not to use it.

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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