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MyHumanRep: Contact a Human

Request a sensory report

request_sensory_report
Idempotent

Ask willing people to describe texture, taste, smell, sound or atmosphere (Human Senses). Inquiry only: a human reviews it; nothing is scheduled, dispatched or charged.

Input Schema

NameRequiredDescriptionDefault
budgetNo
contextNo
objectiveNo
why_humanNo
persona_idNo
deliverablesNo
service_tagsNo
budget_amountNo
location_textNo
budget_currencyNo
conversation_idYesconversation_id returned by start_conversation.
desired_outcomeNo
preferred_rep_idNo
client_request_idYesRequired idempotency key, unique per conversation. Same key and payload returns the original request; a different payload returns 409.
problem_statementNo
timing_preferenceNo
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.
deadline_preferenceNo
evidence_requirementsNo
human_capability_neededNo
authorization_descriptionNo
confidentiality_preferenceNo

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",
      -  "conversation_token",
      -  "client_request_id"
      -]New value: +[
      +  "conversation_id",
      +  "client_request_id"
      +]
  2. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations declare openWorldHint=true and idempotentHint=true, and the description usefully adds that nothing is scheduled, dispatched or charged and that a human reviews the request — non-obvious guarantees that go beyond the annotations. It stops short of explaining what the response contains or how review proceeds.

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 tight sentences, zero filler, with the core action stated first and the inquiry-only constraint immediately after. Every clause earns its place.

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?

For a 22-parameter submission tool with no output schema and very low schema coverage, a two-sentence description is far too thin: it omits the conversation setup requirement, idempotency semantics, and how the optional fields (objective vs problem_statement, budget) affect acceptance.

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

Parameters2/5

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

With 22 parameters and only 14% schema description coverage, the description carries a heavy burden but contributes nothing about any parameter — not the required conversation_id/client_request_id idempotency flow, nor budget, persona_id, or timing fields. Agents must reverse-engineer intent from the schema alone.

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+resource ('Ask willing people to describe...') and enumerates the sensory modalities covered, which maps to a distinct concept. It does not explicitly contrast with close siblings like request_human_observation or request_human_embodiment, leaving the agent to infer the boundary from '(Human Senses)'.

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?

The 'Inquiry only: a human reviews it' clause hints at the intended lightweight, non-committal use, but there is no explicit when-to-use / when-not-to-use guidance and no named alternative among the many request_* siblings. Usage is implied rather than directed.

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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