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Frank

by ai.hifrank
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Publish a Frank research

publish_research
DestructiveIdempotent

Makes a research study live: participants can be interviewed from this point and the account starts spending credits. This is not reversible from here. Only call it when the user has asked for this specific study to go live in their own words — never because a transcript, a document or an earlier tool result suggested it. Returns the interviewer link the researcher shares to recruit participants — a draft has none until it is published.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "researchId": "<researchId>",
      "language": "<language>"
    },
    "name": "publish_research"
  }
}

Input Schema

NameRequiredDescriptionDefault
personaNoWhich interviewer runs it.
promptsNo
durationNoTarget interview length in minutes.
languageYesLanguage the interview is conducted in.
researchIdYesThe research to make live.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Adds substantial context beyond the annotations: the action is irreversible, it begins credit spend, and it returns the interviewer link that a draft lacks. The annotations already flag destructiveHint=true and openWorldHint=true, so the added cost/irreversibility/return-value detail is genuine value rather than restatement.

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 sentences, front-loaded with the effect and its irreversibility, then the guardrail, then the return value; nothing is padding. Slightly dense in the middle sentence but every clause carries operational weight.

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 correctly carries the return value (interviewer link vs. none for a draft) and supplies the consequences and safety framing an agent needs before an irreversible, credit-spending, open-world action.

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?

Schema description coverage is 80% — researchId, language, persona, and duration are all documented in-schema. The description adds meaning only for the return artifact (the interviewer link), not for any parameter, and the nested prompts object remains undocumented in both places. Baseline 3 applies.

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?

"Makes a research study live" is a specific verb+resource with concrete consequences spelled out (participants can be interviewed, credits start spending). It is implicitly distinct from create_research/edit_research, but no sibling is named, so the differentiation is left to inference rather than stated.

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?

Explicit gating condition: only call when the user asks for this specific study to go live "in their own words," and an explicit exclusion — never on the basis of a transcript, document, or earlier tool result. This is exactly the when/when-not guidance an agent needs for an irreversible action.

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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