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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_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior5/5

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

Adds substantial context beyond the annotations: it discloses that the same signed headers are used as a real sale, what the response shows (answer, timing, output_schema match), and that nothing is ordered, charged, or counted. This explains why readOnlyHint=false but destructiveHint=false, resolving what annotations alone would leave ambiguous.

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?

One dense sentence, front-loaded with the actor and action, then unpacking the mechanism after a colon. Nothing is wasted, though the nested colons make it slightly harder to scan than a clean two-sentence split would be.

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?

Even without a tool output schema, the description explains what the agent will get back (the answer, the time, schema match) and the side-effect profile. Combined with annotations, an agent has enough to invoke it correctly; only the input payload shape remains underspecified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With only 50% schema coverage, the description compensates: 'sample input' clarifies that the input object is an arbitrary buyer-style payload, and 'your own listing' implies listing_id must reference a listing the caller owns. It stops short of describing the input object's shape in detail.

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 (trial delivery) and resource (your own listing) and describes the exact mechanism: PazAIr calls the seller's service like a sale. This clearly separates it from siblings like get_listing, my_listings, update_listing, or create_listing.

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?

Establishes clear context: use it as a pre-launch test, 'before any buyer and before payouts,' and notes it is a single trial. It does not explicitly name an alternative or a when-not condition, so it falls short of a 5.

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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