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List creators I study

list_creators
Read-only

The creators the user has analyzed or learned from on the current platform, with each creator's topics and signature opening-line patterns. Use when the user asks for ideas or a post like the creators they follow or study, or asks who they have been learning from. Works on Twitter and LinkedIn, scoped to the active platform. Returns an empty list when they have not analyzed any creators yet; the Inspiration > Creators tab in VoiceMoat is where they add some.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax creators returned (strongest first). Default 6.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly/non-destructive/closed-world, so the bar is lower, and the description still adds real context: platform scoping, that an empty list is returned when no creators exist, and where in the product the user can add some. It does not describe ordering or truncation behavior beyond what the schema already states.

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?

Three tight, front-loaded sentences: what it returns, when to use it, and the empty-state/platform caveats. Every sentence earns its place, though the framing sentence is slightly dense and the empty-state note could be trimmed.

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?

For a simple, optional-param, read-only list tool with no output schema, the description covers the essentials an agent needs: what is returned, platform scoping, the empty-result case, and the user-intent triggers for calling it. Nothing needed to select or invoke it correctly is missing.

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?

There is only one parameter and schema description coverage is 100%, so the schema already documents limit, its range, default and 'strongest first' ordering. The description adds nothing about the parameter, making baseline 3 the correct score.

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 states a specific verb+resource ('The creators the user has analyzed or learned from on the current platform') and even enumerates the returned data (topics, signature opening-line patterns), so the agent knows exactly what set it gets. It does not explicitly contrast itself with lookalike siblings such as list_profiles or get_post_ideas, which keeps it from a 5.

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

Usage Guidelines4/5

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

Clear when-to-use triggers are given: 'Use when the user asks for ideas or a post like the creators they follow or study, or asks who they have been learning from.' It also scopes to Twitter/LinkedIn and the active platform. It names no alternatives or when-not-to-use conditions (e.g., search_inspiration or get_post_ideas), so it stops short of a 5.

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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