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Advance and check a Style Sheet character change

get_style_sheet_character_edit_status

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. Advances the queued character edit, performs the server-side region patch, and returns the revised full Style Sheet image when complete. Call repeatedly until completed or failed. Credits reserved for a failed patch are restored.

Input Schema

NameRequiredDescriptionDefault
editIdYeseditId returned by create_style_sheet_character_edit.

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?

Annotations already declare non-readonly, open-world, and non-idempotent behavior; the description adds auth prerequisites, polling semantics, the completion return condition, and credit restoration on failed patches. This is substantial behavioral context beyond the structured fields.

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 description is reasonably concise and no sentence is clearly wasted, but it opens with a multi-sentence auth setup before stating the tool action. Front-loading the operation would improve structure.

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?

No output schema exists, so the description supplies the key return behavior: a revised full Style Sheet image when complete. It also covers auth, polling until completed or failed, and failed-patch credit restoration, which is enough for this single-parameter operation.

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 only one parameter, and schema description coverage is 100%, with the schema already explaining that editId comes from create_style_sheet_character_edit. The prose does not add parameter-level meaning beyond that baseline.

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 action and resource: advances the queued character edit, performs the server-side region patch, and returns the revised full Style Sheet image. The editId reference to create_style_sheet_character_edit helps distinguish it from creation and planning siblings.

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?

Tells the caller to call repeatedly until completed or failed and requires an approved AlertForge account with OAuth authorization. It does not explicitly exclude alternatives, but the usage context is clear from the edit lifecycle.

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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