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List recommended prices

list_recommended_prices
Read-onlyIdempotent

Lists the prices Sweeprice currently recommends for the tracked products whose line mode produces one, per marketplace, with the basis of each recommendation. Optional productId filter. Paginated with a cursor; at most 100 per page.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_recommended_prices"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
cursorNo
productIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds real context on top: pagination via cursor with at most 100 per page, and that each row carries the basis of the recommendation rather than the price alone, which tells the agent to expect explanatory content.

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?

Two sentences, front-loaded with the core purpose and followed by the filter and pagination facts, with no filler. The first sentence is dense with domain-specific clauses ('line mode produces one') that read as slightly compressed rather than wasteful.

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?

No output schema exists, so the description bears responsibility for describing returns; it says rows include 'the basis of each recommendation' but does not sketch the shape of a record or the marketplace grouping it advertises. For a paginated read tool with an explicit pagination contract, this is adequate but leaves the agent guessing about return fields and end-of-pagination signaling.

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 0% for all three parameters, so the description must carry the load. It explains productId's meaning (optional per-product filter) and indirectly bounds limit via 'at most 100 per page', but never states what limit does, what the cursor string is or where it comes from, or how to detect the last page.

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 ('Lists the prices ... recommends for tracked products') plus the qualifying condition that the product's line mode must produce a recommendation, which is meaningfully more specific than the title. It never names the nearest siblings (list_price_positions, get_product_price_history) to draw the boundary, so differentiation is left to inference.

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

Usage Guidelines3/5

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

Usage is implied by the scoping clause 'whose line mode produces one' and by the 'Optional productId filter', which tells the agent it can narrow to one product or list broadly. However, there is no explicit when-to-use versus when-to-use-something-else guidance, and no mention of what to do when a product has no recommendation.

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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