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Inspect Live Preview

inspect_preview
Read-onlyIdempotent

Return server-side preview context: URLs, persisted runtime/network errors, static clickable candidates, pages, and explicit live-browser availability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
routeNoOptional route to inspect
app_idYesThe app ID
auth_asNoOptional auth simulation: anonymous
auth_as_roleNoOptional app role simulation, e.g. staff/admin/customer

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, covering the safety profile. The description adds useful context about what data is returned (URLs, errors, clickable candidates, pages, live-browser availability), which goes beyond the annotations. However, it does not disclose the exact structure of the response or mention error handling when the app_id is invalid. Given the annotation coverage, a 3 is appropriate – the description adds value but is not rich in behavioral detail.

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 a single sentence that front-loads the core purpose and then concisely lists the returned content. Every word earns its place; there is no fluff, no redundancy, and it is easily scannable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no output schema, so the description is the only source for what the agent receives. It lists the categories of returned data but does not explain the structure (e.g., object vs array), how parameters like route or auth_as affect the result, or what 'explicit live-browser availability' means in practice. While not incomplete enough to be unusable, an agent would benefit from more detail on parameters and response format. This is adequate but leaves gaps.

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 descriptions cover 100% of parameters, so the schema already documents each parameter's basic meaning. The tool description does not add additional semantics for parameters like route, auth_as, or auth_as_role, so it provides no extra value beyond the schema. With full coverage, the baseline of 3 is correct.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns server-side preview context and enumerates the specific elements it includes (URLs, errors, clickable candidates, pages, live-browser availability). The verb 'return' and the resource are specific, distinguishing it from siblings like get_preview_url or get_pages. Minor ambiguity around 'static clickable candidates' but overall purpose is clear.

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

Usage Guidelines2/5

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

The description gives no guidance on when to use this tool versus alternatives. It does not mention any conditions, choose-this-over-that logic, or exclusions. Sibling tools like get_preview_url, get_pages, and get_errors overlap in scope, so the absence of usage guidance is a notable gap. The agent is left to infer when to pick this.

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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