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List creators I study

list_creators
Read-only

List the creators the user has analyzed / learned from on the current platform, with each creator's topics and their signature opening-hook patterns. Use this when the user asks for ideas or a post 'like the creators I follow / track / study', wants recommendations inspired by the creators they've analyzed, or asks who they've been learning from. Works on both Twitter and LinkedIn (scoped to the active platform). Returns an empty list if they haven't analyzed any creators yet — in that case, point them to the Inspiration → Creators tab.

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 readOnlyHint=true, destructiveHint=false and a closed-world scope, so the safety profile is covered. The description adds genuinely useful non-obvious behavior: platform scoping and the empty-list fallback path. It says nothing about the limit/pagination behavior beyond the schema.

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?

Front-loaded with what is returned, then usage triggers, then the edge case and platform note. Three sentences with no filler, though the trigger-phrase sentence is somewhat dense.

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?

With no output schema, the description compensates by enumerating the returned content (topics and opening-hook patterns) and describing the empty-state outcome. Combined with annotations covering read-only safety and the schema covering the sole parameter, an agent has everything needed to call and interpret this correctly.

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?

Single optional parameter with 100% schema description coverage, so the schema fully explains 'limit' including the default and the strongest-first ordering. The description adds no parameter-level meaning, which is the expected baseline when the schema does the work.

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?

Specific verb (list) plus a well-defined resource (creators the user has analyzed/learned from) and the scope (active platform), with the returned fields named. It does not explicitly name or compare itself to any sibling such as list_profiles or search_inspiration, so differentiation is left to inference.

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?

Gives concrete trigger phrases ('like the creators I follow / track / study', 'who they've been learning from') and covers the empty-result case with a redirect to the Inspiration → Creators tab. It does not name an alternative tool or state when NOT to use this one, which keeps it 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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