get_review
Review of a project: per page, the status and version of each step (wireframe, mockup), and the latest Figma link per breakpoint
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| project_id | Yes | The project ID |
Review of a project: per page, the status and version of each step (wireframe, mockup), and the latest Figma link per breakpoint
| Name | Required | Description | Default |
|---|---|---|---|
| project_id | Yes | The project ID |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full burden. It does disclose the shape of the returned data (per-page status/version per step, Figma links per breakpoint), which is genuinely useful, and the 'get_' prefix implies a read. But it says nothing about permissions, side effects, or error conditions for a query that reaches across a whole project.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single dense sentence with no filler; the most important content (per-page status and version) is front-loaded before the secondary Figma-link detail. Slightly compressed phrasing ('per page, the status and version of each step') costs it a point but nothing is wasted.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description must convey the return value, and it does so reasonably well by enumerating pages, step statuses/versions, and per-breakpoint Figma links. Only the absence of any usage context or behavioral caveats keeps it from being fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% for the single required project_id parameter, and the description adds no additional meaning about that parameter. Per the rubric, full schema coverage sets the baseline at 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names the resource (a project's review) and specifies exactly what it contains: per-page status and version for each design step plus the latest Figma link per breakpoint. That is far more specific than a tautology, though it never explicitly contrasts itself with siblings like get_project or get_change_list, so the agent must infer the boundary.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance, no mention of prerequisites, and no reference to any alternative such as get_project or list_review_comments. The agent is left to guess how this differs from the other read tools in the family.
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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