Skip to main content
Glama

Sellantica Amazon Ads

Generate product target recommendations

get_product_recommendations
Read-only

Get Amazon product/ASIN recommendations grouped by theme for an advertised ASIN. This is read-only and does not create targets. profile_id must come from list_profiles.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "profile_id": "<profile_id>",
      "asin": "<asin>"
    },
    "name": "get_product_recommendations"
  }
}

Input Schema

NameRequiredDescriptionDefault
asinYesAdvertised/source ASIN
countNo
countryNo
profile_idYesAmazon Ads profile id (from list_profiles)
profile_pkNoOptional Sellantica profile primary key to disambiguate duplicate profile_id rows (from list_profiles)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the read-only claim largely restates structured data, though it usefully contrasts with the many prepare_* siblings. The description adds the profile_id provenance requirement but says nothing about how themes are formed, the count default, or whether results are cached/expensive.

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?

Three tight sentences, front-loaded with the purpose, then the safety clarification, then the prerequisite. Nothing is padded, though the read-only sentence partly duplicates the annotations.

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 read tool with no output schema, the description gives only a hint of the return shape ('grouped by theme') and leaves count/country semantics unaddressed. It is enough to call the tool correctly in the common case but not complete for a 5-parameter tool.

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 coverage is 60%: asin, profile_id and profile_pk are documented in the schema, but count and country have no description anywhere and the description does not compensate. It also doesn't clarify when the optional profile_pk is needed beyond what the schema already states.

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 and resource ('Get Amazon product/ASIN recommendations grouped by theme for an advertised ASIN'), which distinguishes it from bid-oriented siblings like get_bid_recommendations and get_target_bid_recommendations. It does not name the closest alternative (get_target_suggestions), so full sibling differentiation is missing.

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

Usage Guidelines4/5

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

'This is read-only and does not create targets' plus 'profile_id must come from list_profiles' gives clear context and a prerequisite, implicitly routing writes to the prepare_product_target_create_v1 family. It never explicitly says when to prefer this over get_target_suggestions, so it stops short of a 5.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources