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Influship

Influship MCP

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by Influship

Get sample creator

get_sample_creator
Read-only

Preview Influship's creator data by fetching one sample creator with social profile context, intended for initial evaluation before account linking.

Instructions

Use this when a ChatGPT user wants to see what Influship can return before linking an account.

Fetches one configured sample creator with social profile context. This is a low-cost preview tool and should not be used for search, discovery, matching, or lookalike requests. After showing the preview, tell the user that real live creator data, search, lookalikes, matching, posts, and transcripts require connecting an Influship account. Explain that they can authorize either an Influship SaaS subscription, where usage counts against monthly bundled credits, or an Influship API account, where usage is billed pay-as-you-go under API billing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
resultsNo
countNo
okNo
not_foundNo
has_moreNo
next_cursorNo
suggested_followupsNo
Behavior4/5

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

Annotations already indicate read-only; description adds that it's a 'low-cost preview tool' and only returns one sample creator, providing behavioral context beyond annotations.

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?

Sentences are purposeful and front-loaded, though slightly verbose; each sentence contributes clear guidance.

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

Completeness5/5

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

Fully covers purpose, usage limitations, behavioral expectations, and even includes a user-facing script; no gaps given annotations and output schema.

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?

No parameters exist; baseline score for 0-param tools is 4, and description adds no param info, which is appropriate.

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 it fetches a sample creator for preview before account linking, and explicitly distinguishes from siblings by forbidding search, discovery, matching, or lookalike uses.

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?

Explicitly states when to use (preview before linking) and when not (for search, discovery, etc.), and provides post-call instructions to explain account options.

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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