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jyarbro

eBay Seller MCP Server

by jyarbro

ebay_get_feedback

Retrieve eBay feedback for a user by type, such as received or sent, with optional filters for specific transactions or listings.

Instructions

Get feedback for a user by type

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort order
limitNoMaximum number of feedback items to return
filterNoFilter criteria
offsetNoNumber of items to skip
user_idYesThe eBay username of the user
listing_idNoFilter by listing ID
feedback_idNoFilter by specific feedback ID
feedback_typeYesType: FEEDBACK_RECEIVED or FEEDBACK_SENT
transaction_idNoFilter by transaction ID
order_line_item_idNoFilter by order line item ID
Behavior2/5

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It only states the basic action, omitting whether the operation is read-only, authentication needs, rate limits, or pagination behavior. The schema implies pagination via sort, limit, offset, but this is not mentioned.

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 sentence, which is concise but lacks structure. It does not front-load important information or organize details efficiently.

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?

Given the tool has 10 parameters, no annotations, and no output schema, the description is incomplete. It fails to explain return format, pagination, or any behavioral constraints, making it insufficient for an AI agent to fully understand the tool's behavior.

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 input schema has 100% coverage, with clear descriptions for all 10 parameters. The tool description adds no additional context beyond the schema. 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 verb 'Get' and resource 'feedback', scoped 'for a user by type'. It indicates that feedback is retrieved based on type (received/sent). However, it does not differentiate from sibling feedback tools like ebay_get_feedback_summary, which could confuse an AI agent about which tool to use.

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?

No guidance on when to use this tool versus other feedback-related tools (e.g., ebay_get_feedback_summary, ebay_get_awaiting_feedback). No context on preferred scenarios or alternatives.

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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