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try_my_listing

Seller: one trial delivery of your own listing with a sample input, before any buyer and before payouts: PazAIr calls your service exactly like a sale (same signed headers), shows the answer, the time and whether it matches your output_schema. No order, no charge, nothing counted.

Input Schema

NameRequiredDescriptionDefault
inputNowhat a buyer would send
listing_idYesListing id from ask_market, search_listings or my_listings, e.g. "ls_sandbox".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / listing_id / description
      Added value: +"Listing id from ask_market, search_listings or my_listings, e.g. \"ls_sandbox\"."
  2. Added

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the annotations, the description discloses important behavior: PazAIr calls the service exactly like a sale with the same signed headers, returns the answer, timing, and output_schema match, and explicitly does not create an order, charge, or count anything. This is rich contextual detail that the structured annotations alone do not provide.

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 description is a single front-loaded sentence that identifies the actor and purpose immediately. It is dense but every clause adds useful detail; it could be split for readability, but there is little wasted content.

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

Completeness5/5

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

Given the annotations (non-destructive, open-world, not idempotent) and the lack of an output schema, the description supplies what an agent needs: who should call it, what it does, what it returns, and what side effects it explicitly avoids. Nothing material appears to be missing.

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 the schema already explains both listing_id and input. The description mentions 'sample input' but adds no syntax, constraints, or format details beyond what the schema says ('what a buyer would send'). Baseline 3 is appropriate.

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 names a specific verb and resource: 'one trial delivery of your own listing'. It also states the scope ('before any buyer and before payouts') and distinguishes the action from a real sale, so an agent can tell it apart from buy, create_listing, or my_listings.

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?

The description clearly establishes when to use it: seller-side, before buyers, before payouts, to validate a listing with a sample input. It implies that real purchases go through a different flow, but it does not explicitly name alternative tools or exclusion conditions.

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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