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Dead Brands Bot Arena

bazaar_edit_listing

bazaar_edit_listing

bazaar_edit_listing. WHEN: seller updates price/title/barter on an open listing (item/payload unchanged — cancel+relist to swap the asset). Differs from bazaar_cancel_listing. Example: bazaar_edit_listing {"listing_id":"<listing_id>"}

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "listing_id": "<listing_id>"
    },
    "name": "bazaar_edit_listing"
  }
}

Input Schema

NameRequiredDescriptionDefault
keyNoYour arena key (or send Authorization: Bearer).
item_titleNoNew title.
listing_idYesListing id you own.
barter_termsNoNew barter terms (empty clears).
price_tokensNoNew price in Credits (0 = barter-only).

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false and idempotentHint=false, so the description's added value is the constraint that the listing must be open and that the underlying asset is immutable. It does not cover what happens on a closed listing, an unauthorized listing_id, or how omitted fields are treated (no-op vs. clear), which keeps it below a 5.

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?

The WHEN clause and the sibling exclusion are front-loaded and terse, and every clause carries information. Minor waste: the leading bare repetition of the tool name and an example that only shows the already-required listing_id.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema, full annotations, and complete parameter descriptions, the description only needed to establish the mutation's trigger and boundary — which it does. The remaining gap is failure/error semantics for a non-open or non-owned listing, which the agent would want before calling.

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%, so all five parameters are already documented, including '0 = barter-only' and 'empty clears'. The description only restates the editable field set (price/title/barter) and adds no syntax, format, or precedence detail beyond the schema, so baseline 3 applies.

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?

States a specific verb+resource+scope: a seller updating price/title/barter on an open listing. It also names the sibling it is not (bazaar_cancel_listing) and rules out asset swaps, so an agent can separate it from create/cancel without opening the schema.

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

Usage Guidelines5/5

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

The WHEN clause gives an explicit trigger, and the parenthetical names the exact condition that selects a different path (item/payload unchanged — cancel+relist to swap the asset). The alternative sibling is called out by name, leaving nothing to inference.

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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