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ebay_search_messages

Search eBay buyer-seller messages using filters like conversation type, status, date range, username, or listing ID to retrieve specific conversations.

Instructions

Search for buyer-seller messages

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conversation_typeYesType of conversation: FROM_EBAY or FROM_MEMBERS
conversation_statusNoFilter by status: ACTIVE, ARCHIVE, DELETE, READ, UNREAD
end_timeNoEnd time for retrieving conversations (ISO 8601 format)
limitNoMaximum number of items to return (25-50)
offsetNoNumber of items to skip
other_party_usernameNoFilter by specific eBay user
reference_idNoFilter by reference ID (e.g., listing ID)
reference_typeNoReference type (currently only LISTING is supported)
start_timeNoStart time for retrieving conversations (ISO 8601 format)
Behavior2/5

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

No annotations exist, so description must disclose behavioral traits. It only says 'search', omitting pagination behavior (offset/limit parameters), required conversation_type, or whether results are ordered. No error handling or rate limit info.

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?

Extremely concise at one short sentence. No fluff, but could be more informative without losing conciseness. Still efficient.

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 9 parameters, no output schema, and no annotations, the description is insufficient. It does not explain return values, error cases, or how to interpret results. Missing context for effective use.

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%, so baseline is 3. Description adds no additional meaning beyond parameter names and types. Since coverage is high, no penalty, but no bonus either.

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 'Search for buyer-seller messages' clearly states the verb and resource, but does not distinguish from sibling tools like 'get_conversations' or 'get_message'. The term 'search' implies filtering, but lacks specificity to differentiate.

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 alternatives. Siblings include many message-related tools (get_message, get_conversations, send_message) but no context is provided for selection criteria.

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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