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get_creator_profile

Loads the creator's persistent profile to determine setup status and project history, enabling AI assistants to skip onboarding for returning users.

Instructions

Load the creator's persistent profile — their setup status, GitHub/PyPI usernames, and project history. Call this FIRST in every session. If the profile exists with setup_complete=true, skip all onboarding and go straight to building.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries full burden and effectively discloses key behaviors: it's a read operation ('Load'), has session initialization logic, and influences workflow decisions (onboarding skipping). It doesn't mention rate limits or error handling, but covers essential operational context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with zero waste: first states purpose and data scope, second provides critical usage instructions. Front-loaded with essential information, every sentence earns its place for a session initialization tool.

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?

Given 0 parameters, no annotations, but an output schema exists, the description is complete: it explains what the tool does, when to use it, and its behavioral impact. The output schema will handle return values, so the description appropriately focuses on operational context.

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?

The tool has 0 parameters with 100% schema description coverage, so the baseline is 4. The description appropriately doesn't discuss parameters, focusing instead on the tool's purpose and usage context, which adds value beyond the empty schema.

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 the specific action ('Load') and resource ('creator's persistent profile'), listing exact data retrieved (setup status, GitHub/PyPI usernames, project history). It distinguishes from siblings like 'update_creator_profile' by focusing on retrieval rather than modification.

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 ('Call this FIRST in every session') and when not to use ('skip all onboarding if setup_complete=true'), providing clear context for session initialization versus alternatives like 'check_setup' or 'update_creator_profile'.

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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