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Product Admin by Nova (CIVAI)

get_product

Return full product detail including payment/logistics/mobile-push config.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses the scope of the response payload (payment, logistics, mobile-push config), which hints at a read-only fetch, but says nothing about missing-product behavior, permissions, or whether the payload is large/costly.

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?

A single front-loaded sentence with no filler. However, 'full product detail' is slightly vague, so the terseness trades away a little precision.

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?

With no output schema and no annotations, the description is the only source of behavioral and return information. It names the main payload sections but leaves the parameter, error cases, and overall response shape unexplained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the sole parameter product_id is undocumented in both schema and description. The description does not indicate where the id comes from (e.g., list_products) or its format, so it fails to compensate for the coverage gap.

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?

States a specific verb (Return) and resource (full product detail), and enumerates the notable sections returned (payment/logistics/mobile-push config). It is distinguishable from list_products by the singular 'detail' framing, but it never explicitly contrasts with its read siblings.

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?

No when-to-use guidance, no prerequisites, and no mention of alternatives such as list_products for enumerating products. The agent must infer that this fetches one product by id.

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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