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etoyama

insight-blueprint

by etoyama

save_review_batch

Save a batch of review comments for a design and update its status to move the review workflow forward. Supports optional inline anchors for context.

Instructions

Save a batch of review comments and transition the design status.

The design must be in reviewable status (in_review or revision_requested). Each comment can optionally include target_section and target_content for inline anchoring.

Valid status_after values: revision_requested, analyzing, supported, rejected, inconclusive.

Returns: dict with batch_id and status_after on success; {error} on failure

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commentsYes
reviewerNoanalyst
design_idYes
status_afterYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the full burden and does well by stating the required design status, valid status transitions, optional inline anchoring fields, and the return format (batch_id and status_after, or error). It does not disclose atomicity/side effects, but it provides essential behavioral context beyond a mere mutation.

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?

The description is well-structured and concise: a one-line summary, followed by a prerequisite, optional comment detail, valid status values, and return behavior. Each sentence earns its place without redundancy, and it's front-loaded with the primary function.

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 description covers the key aspects for a batch operation: prerequisites, valid transitions, optional parameters, and return values. It lacks details on partial failure behavior or explicit permissions, but given the tool's moderate complexity and the inclusion of a return format, it is reasonably complete.

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?

The input schema has 0% description coverage, so the description must compensate. It adds meaning for comments (optional target_section, target_content) and enumerates valid status_after values, but it does not explain the structure of individual comments beyond those optional keys, nor does it clarify the reviewer or design_id semantics beyond what the schema names imply.

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?

The description clearly states the tool's dual function: saving a batch of review comments and transitioning the design status. It is specific about the resource (design) and the action (save/transition), and it distinguishes itself from siblings like save_review_comment (batch vs. single) and transition_design_status (combined action).

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?

The description gives a clear precondition (design must be in reviewable status) and lists valid status_after values, which helps the agent decide when to use it. However, it does not explicitly mention alternatives or when not to use it, though the batch nature implies use for multiple comments. This is clear context without explicit exclusions.

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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