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Generate a new AI Alert character

generate_alert_character

Requires an approved AlertForge account connection. OAuth-aware clients should start AlertForge's secure authorization flow and ask the user only to sign in and approve. Setup: https://alertforge.ai/ai-agents#agent-setup. Spends credits (the exact price is in list_alert_types' characterGenerateCredits). Generates a brand-new standalone character portrait from a text description via AI -- this is a still image, not a video. Returns a renderId immediately; generation is asynchronous and provider timing varies. Poll get_alert_character_status with it until status is 'completed', then use the returned path as characterImageUrl in plan_alert_pack.

Input Schema

NameRequiredDescriptionDefault
promptYesA description of the character to generate, up to 600 characters.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Goes well beyond the annotations: it discloses that credits are spent (with where to find the price), that the operation is asynchronous and provider timing varies, and that the immediate return is only a renderId requiring polling. It also spells out the auth/setup requirement and supplies a setup URL, none of which the annotations convey.

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?

Dense and largely waste-free, but the ordering buries the payload: the first two sentences are auth and billing logistics, and the actual purpose arrives third. Front-loading what the tool creates before the sign-in and credit boilerplate would help an agent triage faster.

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 carries the full burden of the return contract and does so precisely: an immediate renderId, asynchronous completion, the exact status tool to poll, the terminal status value, and the field name (`path`) to reuse downstream as characterImageUrl. Nothing needed to call this correctly is missing.

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?

There is a single parameter and schema description coverage is 100% — the schema already states 'a description of the character to generate, up to 600 characters.' The description's 'from a text description' adds nothing the schema lacks; no guidance on prompt phrasing or what makes a good prompt is offered. Baseline 3 is correct for a fully documented single parameter.

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 — 'Generates a brand-new standalone character portrait from a text description via AI' — and preempts the most likely confusion with the video-generating siblings by adding 'this is a still image, not a video.' The word 'standalone' also distinguishes the output from sheet/pack-derived characters.

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

Usage Guidelines4/5

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

Gives explicit preconditions (approved AlertForge account connection, OAuth approval), a cost note pointing at list_alert_types' characterGenerateCredits, and the exact downstream sequence: poll get_alert_character_status until 'completed', then feed `path` into plan_alert_pack. What it never does is exclude the nearest sibling, create_style_sheet_character_edit, leaving the agent to infer which character-creation entry point applies when a style sheet already exists.

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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