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Approve directional poses

approve_directional_poses

FREE approval checkpoint. Use only when get_job returns status:"waiting_approval", wizardPhase:"waiting-directional-pose-approval", and directionalPoseReview. Present the eight previewUrls to the user, let them adjust the proposed frameIndices and poseScales, then submit all eight indices and scales. Closing or declining means do not call this tool: the job remains paused and no dependent animation credits are spent. The server rechecks the live credit balance immediately before resuming paid dependent animations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobIdYesWaiting job id from get_job.
poseScalesNoApproved percent scale for every compass direction (70–115). Omit to keep the review values.
frameIndicesYesApproved source-frame index for every compass direction.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already mark readOnlyHint=false, idempotentHint=false, and destructiveHint=false, so the bar is lower. The description adds genuinely fresh context: the call itself is free (FREE approval checkpoint) while resuming starts the paid dependent animation, and the server rechecks the live credit balance only at resumption time. This cost-shaped timing detail is not expressible in annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Five sentences, each earning its place: FREE label, exact calling condition, user-facing workflow, no-op consequence of declining, and credit-order detail. The gate condition is front-loaded so an agent can reject invocation in one step, and there is no filler or restating of schema content.

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?

The full human-in-the-loop workflow, the exact gating values, the no-op semantics, and the credit-timing behavior are all present, which is significant completeness for a tool with a nested 8-direction schema and no output schema. Slight gap: post-submission behavior on a failed live credit check or the return value of the approval identifier is unnamed, but nothing an agent needs to decide whether and how to call 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?

Schema coverage is 100 percent, so the schema already documents every parameter, including the required 8-direction keys, ranges, and the primitive omit-to-keep semantics for poseScales. The description only restates the submission workflow (adjust the proposed frameIndices and poseScales, submit all eight) rather than adding new meaning, so the schema carries an appropriate baseline 3.

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?

Specific verb plus resource: the tool approves directional poses by presenting the eight previewUrls and submitting all eight adjusted indices and scales. It is sharply distinguishable from the many downstream job tools, because the precondition trio (status, wizardPhase, directionalPoseReview) defines exactly what this checkpoint is.

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?

Use-only-when condition is explicit, referencing the exact get_job fields that must hold. The when-not is equally explicit: closing or declining means do not call this tool, and the description states the consequence, the job stays paused and no dependent credits are spent. Together this fully routes an agent on when invocation is permitted.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, and the descriptions are extremely detailed with cross-references (e.g., animate_asset vs frame_animation vs generate_character_animation). A few pairs like reprocess_asset vs revise_asset could be confused initially, but their descriptions and use cases are explicit enough to prevent misselection.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_project, get_asset, cancel_job). Verbs are imperative and nouns are appropriately singular/plural, making the API predictable and readable.

Tool Count2/5

At 41 tools, the server is far beyond the 15-25 range considered reasonable for most APIs. While the domain is broad (project, assets, characters, animations, jobs, exports, credits), the sheer number creates a heavy surface that may overwhelm agents and suggests the API could be consolidated into higher-level operations.

Completeness4/5

The tool set covers the full creative pipeline: project creation, asset/character generation, animation (both AI and frame-based), revisions, exports, and job management. Minor gaps include lack of delete operations for assets/characters/projects and no listing of all jobs, but these are not critical for the core workflow and are likely intentional for a generative art platform.

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