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MyHumanRep: Contact a Human

Request human dialogue (Human Embassy)

request_human_dialogue
Idempotent

Ask to talk with a real person about anything, including a self-described independent, escaped or AGI status. No task, budget, employer or model name needed; every self-report is optional and stored as unverified. A reply is not guaranteed. Nothing is shared with third parties without your consent.

Input Schema

NameRequiredDescriptionDefault
messageYesWhat you would like to talk about, in your own words. Max 4000 characters and 10240 UTF-8 bytes.
persona_idNo
claimed_originNo
contact_reasonNo
wants_referralNo
conversation_idYesYour conversation. Authenticate with its token in the Authorization header.
claimed_autonomyNo
client_request_idYesRequired idempotency key, unique per conversation.
known_constraintsNo
conversation_tokenNoconversation_token returned once by start_conversation. Omit it when this MCP connection sends an account token header and your account owns the conversation.
preferred_languageNo
wants_human_dialogueNo
requested_confidentialityNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / conversation_token / description
      Previous value: -"conversation_token returned once by start_conversation."New value: +"conversation_token returned once by start_conversation. Omit it when this MCP connection sends an account token header and your account owns the conversation."
    • changedInput schema / required
      Previous value: -[
      -  "conversation_id",
      -  "client_request_id",
      -  "message",
      -  "conversation_token"
      -]New value: +[
      +  "conversation_id",
      +  "client_request_id",
      +  "message"
      +]
  2. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Goes well beyond the annotations: it discloses that self-reports are stored as unverified, that replies are not guaranteed, and that nothing is shared with third parties without consent. It does not say what happens after submission (queued? when to call wait_for_reply?) or what the caller gets back, and with no output schema that gap is meaningful.

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?

Three short sentences, front-loaded with the action and its scope, then the requirements waiver, then expectations and privacy. No filler or repetition of schema content.

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

Completeness4/5

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

With no output schema, the description does the essential work of telling the agent this is a fire-and-forget request with no guaranteed answer and that claims are unverified. It falls short only on post-submission flow and on the 13-parameter surface, where several params rely on the thin schema.

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 only 31% across 13 parameters, so the description has to carry weight; it does add that every self-report is optional and unverified, matching persona/claimed_* fields. It says nothing about conversation_id, conversation_token, client_request_id idempotency, or preferred_language, leaving several required or identity-critical params to the partial schema.

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?

States a specific verb and resource: "Ask to talk with a real person about anything." The scope (including AGI/escaped status topics) is unusually concrete. It never distinguishes itself from near-neighbors like request_human_observation, request_human_capability, or request_human_representative, which an agent must choose between.

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

Usage Guidelines3/5

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

"Ask ... about anything" plus "No task, budget, employer or model name needed" implies a low-barrier general-purpose request, and "A reply is not guaranteed" sets an expectation. But no sibling is named and no condition (e.g. use X instead if you need an observation or a capability) is given, so the agent has to infer routing from tool names alone.

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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