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adbutler

AdButler MCP Server

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by adbutler

search_product_catalog_items

Search AdButler product catalogs for items using publisher ID, catalog ID, and optional query text to find specific products.

Instructions

Search for items in a product catalog

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch query string
catalog_idYesCatalog ID
publisher_idYesPublisher ID
Behavior2/5

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

With no annotations provided, the description must fully disclose behavior, but it only says 'Search for items.' It does not describe return format, pagination, query semantics, or whether it returns a list of items. This is a significant transparency gap for a search tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, concise and front-loaded, but it lacks structure or additional helpful details. It is minimally worded but under-specified, so it doesn't earn above a 3.

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?

There is no output schema, so the description should explain what the search returns and any behavior like filters or limitations. It does neither. For a 3-parameter tool with no annotations, this is incomplete and would require the agent to probe the API to understand the response.

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 coverage is 100%, with each parameter having a description (query: 'Search query string', catalog_id, publisher_id). The description adds no extra meaning beyond restating 'search,' but the schema already documents parameters adequately, so the baseline of 3 is appropriate.

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 action ('Search') and the resource ('items in a product catalog'), distinguishing it from related get/list tools like get_product_catalog_item or list_product_catalogs. However, it is somewhat generic and does not explicitly note that this is a filtered search supporting a query string, so it falls short of a 5.

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?

There is no guidance on when to use this tool versus alternatives. No mention of using get_product_catalog_item for single-item retrieval or list_product_catalogs for catalog listing, and no mention of conditions like 'use when you need to search by query.' This leaves the agent to infer usage from the name alone.

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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