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MelMayssonOwen

TimeToPost MCP server

Create AI Presenter persona

persona_create

Create a draft AI presenter persona for your active org and start or resume provider minting. Draft content stays unpublished, making it safe for draft-only agents.

Instructions

Create a DRAFT AI Presenter persona for the active org and start/resume provider minting. Requires Presenter Pack when billing is enabled. CAPABILITY: draft — creates content that cannot reach an audience on its own. Safe for a draft-only agent token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bioNo
brandNo
doSayNo
dontSayNo
voiceIdNo
audienceNo
formalityNo
roleLabelNo
voiceNameNo
humorLevelNo
displayNameYes
energyLevelNo
personaTraitsNo
identityPromptNo
negativePromptNo
companyProfileIdNo
Behavior5/5

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

With annotations all false, the description carries the full burden. It discloses that the tool starts/resumes provider minting (a side effect), requires Presenter Pack, and creates content that cannot reach an audience on its own. It also reassures safety for draft-only agent tokens, adding valuable behavioral context beyond the annotations.

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?

The description is three focused sentences, front-loaded with the main action. Each sentence adds essential context: what it creates, prerequisites, and safety/behavioral notes. No wasted words.

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

Completeness2/5

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

Given the complexity of 16 parameters and no output schema, the description is incomplete. It covers purpose and safety but omits parameter meanings, expected return values, and detailed behavior. The high parameter count and zero schema coverage leave significant gaps that the description does not fill.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate by explaining parameters. However, it provides no parameter-specific information, only mentioning the general action of creation. The 16 parameters remain completely undocumented, leaving the agent without semantic guidance.

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 tool creates a DRAFT AI Presenter persona and also starts/resumes provider minting, with a specific verb and resource. It distinguishes itself from siblings like persona_list and persona_status by focusing on creation and the draft capability.

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?

The description provides clear context on when to use this tool: when creating a draft persona and needing to start/resume minting. It also notes the Presenter Pack requirement when billing is enabled, offering practical prerequisite guidance. It does not explicitly mention alternatives, but the context is sufficient.

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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