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zhan-1002

Sorftime PickFlow MCP

by zhan-1002

asin_score_batch

Score multiple Amazon ASINs in batch and rank by total score using concurrent API calls. Ideal for scoring all ASINs discovered from asin_discover.

Instructions

Score multiple ASINs and rank by total score. Uses concurrent API calls.

Args: asins_json: JSON array of ASIN objects (from asin_discover) or '["ASIN1","ASIN2",...]' limit: Max ASINs to score concurrency: Max parallel API calls (1-10)

USE THIS TOOL WHEN: Scoring all ASINs discovered by asin_discover.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
asins_jsonYes
concurrencyNo
traffic_pagesNo
scoring_versionNov2_semantic
Behavior3/5

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

No annotations are present, so the description carries the transparency burden. It discloses that the tool 'Uses concurrent API calls' and specifies concurrency limits, but lacks details on side effects, error handling, or output structure, leaving gaps.

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?

The description is compact, front-loaded with purpose, and every sentence contributes. The Args section is clearly formatted, and the usage note is direct.

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?

With no output schema and no annotations, the description should explain return values and remaining parameters. It only partially covers this, omitting traffic_pages and scoring_version, and doesn't describe what the response looks like beyond ranking.

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?

The description adds meaning for asins_json (format and source), limit (max count), and concurrency (range 1-10), but omits traffic_pages and scoring_version entirely, which is a notable gap given 0% schema coverage.

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

Purpose5/5

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

The description clearly states 'Score multiple ASINs and rank by total score' with a specific verb and resource. It distinguishes from the sibling 'asin_score' by highlighting batch processing and referencing 'asin_discover'.

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?

Provides explicit usage guidance in the 'USE THIS TOOL WHEN' section, specifically 'Scoring all ASINs discovered by asin_discover.' This gives clear context, though it doesn't mention alternatives or exclusions, so it earns a 4.

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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