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Update product

update_product
DestructiveIdempotent

Change the current catalog details of a Replo-managed product. Null values clear nullable fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNo
titleNo
statusNo
productIdYes
descriptionNo
externalCheckoutUrlNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, idempotentHint=true, and readOnlyHint=false, so the safety profile is covered. The description adds two non-obvious details the annotations do not carry: that null arguments clear nullable fields (which is the concrete mechanism behind the destructive flag) and that only Replo-managed products are eligible. It still omits partial-update semantics — whether omitted fields are preserved — which is the main remaining behavioral gap.

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?

Two short sentences, no filler, and the core action is front-loaded with the edge-case rule second. Nothing in the text is redundant with the name or title.

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?

For a destructive mutation with six parameters, 0% schema coverage, and no output schema, the description does the minimum: it explains null semantics and scope but never states whether the update is partial or full-replace, which fields are optional, or what happens to unspecified values. An agent could invoke it but might clobber fields unintentionally.

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% across 6 parameters, so the schema contributes only types, an enum, and a UUID pattern. The description compensates for exactly one concept — null clears nullable fields — which covers slug, description, and externalCheckoutUrl but says nothing about productId, title, or the status enum's semantics.

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 ('Change') and resource ('catalog details of a Replo-managed product'), which cleanly separates it from create_product, get_product, and set_product_inventory. It does not name those siblings explicitly, so differentiation is inferred rather than stated.

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 word 'current' implies the product must already exist, and 'Replo-managed' hints at an eligibility constraint, but there is no explicit when-to-use guidance, no prerequisite statement (e.g. required permissions or product ownership), and no pointer to create_product for new products. Usage must be guessed.

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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