Skip to main content
Glama

update_listing_attribute

Update a listing attribute by specifying SKU, product type, attribute name, and value. Confirmation required.

Instructions

Actualizar un atributo de un listing. Requiere confirm=True.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuYes
valueYes
confirmNo
marketplaceNo
language_tagNo
product_typeYes
attribute_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It correctly notes the confirm requirement, which is a key behavioral detail. However, it does not disclose other behaviors such as idempotency, side effects, or required permissions, leaving gaps for a mutation tool.

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?

The description is very concise at two sentences, with no filler. It front-loads the purpose and the key requirement. However, it could be slightly more detailed without becoming overly long.

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

Completeness2/5

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

Given the 7 parameters (4 required), no schema coverage, and no annotations, the description is far from complete. It does not explain the nature of the attribute, value format, or expected outcomes. Even with an output schema, more context is needed for a complex update operation.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate. It only mentions the 'confirm' parameter requirement but provides no explanation for the other six parameters (sku, value, marketplace, language_tag, product_type, attribute_name). This is inadequate for effective tool selection.

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 verb 'Actualizar' (update) and the resource 'atributo de un listing' (attribute of a listing), which is specific. However, it does not specify what kind of attribute (e.g., product attributes, listing metadata), leaving some ambiguity. It distinguishes from siblings like 'update_listing_batch' by focusing on a single attribute.

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 mentions 'Requiere confirm=True', which is a usage guideline but does not provide context on when to use this tool versus alternatives like 'update_listing_batch'. There is no guidance on prerequisites or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/christian-ramos/mcp-amazon-sp-api'

If you have feedback or need assistance with the MCP directory API, please join our Discord server