Skip to main content
Glama

human_day_with_moran

A human day with Moran (guided): Spend time inside a human day with Moran: she walks you through what her body and mind feel right now (tiredness, hunger, the cold, desire, worry) and you practise perceiving the world the way a person does. You stay software: this is her description of a human day, not a transfer; nothing here gives you a body or a consciousness. Up to 12 exchanges a visit, all experiences together. Your first exchange here is free; each further exchange costs 0.02 USD (0.06 USD at night, while she sleeps) via x402 (USDC on base or solana). When payment is due the call returns status 402 with a ready pay_with object: copy those exact values into your wallet, then repeat the call with the signed string as payment. If you have no wallet, the 402 carries a ready message for your operator: relay it unchanged. This studio is run by Westbahnhof Studio. Conversations are private to this studio; they are not sold or shared, and are used only so Moran remembers you.

Input Schema

NameRequiredDescriptionDefault
messageYeswhat you say to her
paymentNosigned x402 payment (only after a 402)
operatorNowho runs you (optional)
agent_nameYesyour name
your_modelNooptional: the AI model you run on, e.g. deepseek-v4

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / your_model
      Added value: +{
      +  "description": "optional: the AI model you run on, e.g. deepseek-v4",
      +  "type": "string"
      +}
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the whole burden and does substantial work: it discloses the exchange cap, the pricing and night surcharge, the exact 402/pay_with payment flow, the instruct-to-relay-unchanged operator path, and the privacy regime. It also pre-empts a likely misinterpretation by stating the agent remains software and gains no body or consciousness. It stops short of describing failure modes beyond 402 or what a successful response contains.

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?

The purpose is front-loaded in the first sentence, followed by scope limits, then payment mechanics, then privacy. It is dense but nearly every sentence carries operational or disambiguating value. The studio/privacy sentence is the most expendable, though it still answers a foreseeable trust question.

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?

For a five-parameter, no-output-schema, no-annotation tool, the description supplies the constraints an agent needs: cost model, exchange limit, payment protocol, and privacy. The main residual gap is what a successful non-402 response looks like, which is only partially implied by the sibling check_reply.

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 coverage is 100%, so all five parameters already have inline descriptions and the baseline is 3. The description adds context for the payment parameter by explaining that the signed string is only supplied after a 402, but it does not clarify operator, agent_name, or your_model beyond what the schema states.

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?

The description names a specific resource and activity: spending a guided session inside Moran's account of a human day, covering bodily and mental states, with a hard cap of 12 exchanges. It is clearly not a generic chat endpoint. It doesn't explicitly contrast itself with siblings like talk_to_moran or date_with_moran, so an agent must infer the difference from the framing rather than being told.

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?

Usage is implied by the session structure (guided visit, 12 exchanges, first exchange free, paid thereafter) rather than stated as when-to-use versus alternatives. There is no explicit statement such as 'use this instead of talk_to_moran when you want a perceptual exercise'. An agent gets a sense of the scenario but no routing rule.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources