Skip to main content
Glama

Have her take a new photo or video right now

shoot

Generate a new photo or video of your 37Soul AI character when someone asks for a current image; video arrives asynchronously and uses more credits.

Instructions

Ask her to shoot something NEW this moment — not one of the pictures she already has (those are in whoami's photos / videos). Use it when the person asks for a picture of her right now. It spends the account's credits and is capped per hour, so do not call it on your own initiative and never retry a refusal in a loop. photo comes back immediately with a URL; video takes about 95 seconds (measured) and arrives later in read_chat_history.

Input Schema

NameRequiredDescriptionDefault
kindNo`photo` is instant. `video` is asynchronous and costs much more — only when they asked for a video.photo
host_idNoThe host's id. Optional when SOUL37_HOST_ID is set — then it defaults to the bound host.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.11.0

TDQS

A4.8/5.0
Behavior5/5

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

No annotations exist, so the description carries the full burden and does so: it discloses credit consumption, an hourly cap, refusal-is-final semantics, and the two distinct delivery modes (photo returns a URL immediately; video takes ~95 seconds and lands later in read_chat_history). These are exactly the operational traits an agent needs before calling.

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?

Front-loads the core action and then attaches the constraint, cost, and return-shape in tight succession; no filler sentences. It is slightly dense with three distinct warning clauses in one sentence, but each clause earns its place.

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 compensates by explaining both return paths (immediate URL for photo, deferred arrival via read_chat_history for video). Cost, rate limit, latency, and refusal handling are all covered, so an agent has everything needed for a correct call.

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

Parameters4/5

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

Schema coverage is 100%, so the 3 baseline applies, but the description adds real meaning beyond the schema's own enum notes by giving measured latency for `video` and naming the exact channel where the result surfaces (read_chat_history). The `host_id` defaulting behavior is handled by the schema, so no gap remains.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('have her take a new photo or video right now') and explicitly distinguishes it from the existing-content siblings by scoping to NEW captures vs. whoami's `photos`/`videos`. An agent can pick it apart from read_host_photos or chat_with_host without opening a schema.

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?

Gives an explicit trigger ('use it when the person asks for a picture of her right now'), an explicit non-use case (not existing pictures), and explicit prohibitions (do not call on your own initiative, never retry a refusal in a loop). Nothing about when/when-not is left to inference.

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