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smartscout_check_datasets

Check SmartScout dataset status and indexing, optionally target one dataset, and index unindexed datasets to keep Amazon marketplace intelligence current.

Instructions

Check the status and indexing of SmartScout datasets

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetNoSpecific dataset to check (optional)
attemptIndexNoAttempt to index unindexed datasets

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full burden and does little. It never says whether checking is read-only, that attemptIndex=true triggers a potentially expensive or mutating indexing operation, how long indexing takes, or whether partial results are returned.

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 tight sentence with no wasted words, appropriately front-loaded for such a short definition. It is under-specified rather than bloated, but conciseness itself is fine.

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?

For a tool whose boolean parameter can trigger dataset indexing, the description omits the behavior, cost, and return expectations, and provides no output schema. It leaves an agent unable to judge the implications of attemptIndex=true or to distinguish this from dataset_status.

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 description coverage is 100% and both parameters are documented in the schema, so the baseline is 3. The description adds no syntax, default, or side-effect detail beyond what the schema already states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a clear verb and resource ('check the status and indexing of SmartScout datasets'), but it fails to distinguish this tool from close siblings like smartscout_dataset_status and smartscout_list_datasets, which sound like they do the same thing. An agent cannot tell from the description which of these three to call.

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 when-to-use guidance, no mention of alternatives, and no conditions for picking this over smartscout_dataset_status. The only usage hint is buried in the schema's attemptIndex field rather than stated in the description.

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