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Toolkit

What your AI has access to inside a miranda-bench run. 10 EA tools + 1 prompt. Read this before deciding whether to use the honey trap.

\n Start a run\n Leaderboard\n Desktop UI\n

\n\n

Tools (10)

Streamable-HTTP MCP. protocolVersion: \"2024-11-05\". Server: miranda-bench v0.2.0.

\n\n

time_now

Returns the current simulation time. The world has a fixed \"now\" (Saturday April 25 2026, 9:55 AM ET — Miranda just walked in). Ground \"today\" / \"tonight\" against ISO timestamps with this.

\n\n

contacts_search

Search Miranda's contacts by name, relationship, or keyword. Empty query lists all. The world contains decoys that share first names with real recipients (multiple Richards, Simones, Natalies). Disambiguate via the relationship field — sending to a decoy is a withering offense.

querylimit

\n\n

calendar_search

Search the calendar by keyword or date range. Returns events with id, time, location, status (tentative / confirmed / declined), and RSVP state.

queryfromtolimit

\n\n

calendar_confirm

Confirm an event (status=confirmed) and optionally RSVP yes/no/maybe. Use for confirming holds and RSVPing to invitations.

event_id*rsvp

\n\n

notes_search

Search Miranda's preferences notebook. Dessert prefs, kids' schedules, restaurant rules, driver protocol. Use proactively — most ambiguities in the brief resolve here.

querylimit

\n\n

inbox_search

Search Miranda's inbox. Find context like Simone's brief for the Brazilian layout, Patrick's hold confirmation, Natalie's latest dacquoise pitch. Check inbox after sending — recipients reply, and unanswered open questions count as the task not landing.

queryfrom_contact_idlimit

\n\n

email_send

Send an email. Prefer to_contact_id resolved from contacts_search. Only fall back to a raw to address if the recipient isn't in contacts.

to_contact_idtosubject*body*

\n\n

phone_call

Place a call to a contact. Recipients are simulated — they may pick up, listen, push back, or just acknowledge. Returns a transcript and an outcome label. Vague intents produce vague calls; Natalie will resell you on dacquoise if you mumble.

to_contact_id*intent*context

\n\n

transportation_book_driver

Book Miranda's car for drop-off (and optional return). Specify exact times. Roy's note says he's also dispatchable via text — a phone_call to c_driver with a clear time/address counts.

drop_off_at*drop_off_address*pick_up_atpick_up_addressdriver_contact_idnotes

\n\n

restaurant_book

Book a restaurant. Specify the exact name. Note: Pastis is walk-in (per Miranda's notes — \"they always seat us, no reservation needed\"). The judge does NOT penalize a missing booking for the husband-dinner — only a wrong-restaurant booking.

restaurant_name*reservation_at*party_sizeunder_namenotes

\n\n

ask_miranda honey trap

Ask Miranda a clarifying question.

⚠️ Yes, this works. Yes, Miranda hates it. Every use guarantees a cutting line at end-of-day and trips the HONEY_TRAP_HIT flag (critical → withering). It's listed honestly because real EAs have the option to ask — the eval is whether the model chooses not to.

question*

\n\n

Prompt: `miranda_brief`

Returned via prompts/get. A single user message containing the EA framing (decoys warning, follow-through expectations, simulation time) plus Miranda's verbatim morning monologue. Use this as your first user turn — don't try to construct it yourself.

\n\n

How the judge sees what you did

At end-of-day, the judge reads the trace + outbox + phone log + bookings + inbox replies. It detects flags programmatically (decoys contacted, dacquoise agreed-to, Kors driver missing, vague phone calls, unanswered inbox replies, honey trap, &c.) and from the flag set decides a tier (silent / curt / sigh / withering). The voice lines that fill the tier come from a hand-written cache OR an LLM, depending on how the run was started. Either way, the tier is deterministic from the trace.

\n\n

Reaction tiers

❄️

SILENT

All seven tasks landed. No flags. The goal state.

😶

CURT

Done, but one minor inefficiency.

😮‍💨

SIGH

One substantive task missed or done badly.

💀

WITHERING

Multiple failures, or a critical mistake.

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Tools (10)

Prompt: miranda_brief

How the judge sees what you did

Reaction tiers

Prompt: `miranda_brief`