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Crawlora MCP

pristine_auction_lot

Read-only

One Pristine Auction lot's full detail: title, description, image gallery, price (current high bid, or realized/sold price once ended), auction end time, sport/collectible category, auction type, no-reserve flag, and view/watch/bid counts. lot_number comes from pristine_auction_search's results[].lot_number.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lot_numberYesA lot_number from pristineauction-search's results.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, openWorldHint), so the description only needs to add context, which it does by disclosing the time-varying price semantics (current high bid vs. realized/sold price once ended) and the presence of auction end time. It does not discuss staleness, auth, or rate limits, but that is a minor gap against a read-only, open-world annotation set.

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?

Two sentences, front-loaded with the resource and then the return-field inventory, with the identifier provenance last. The field list is dense but every item maps to returned data, so little is wasted.

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?

For a single-parameter lookup with an output schema and annotations already present, the description supplies the naming, the field inventory, and the identifier source. Nothing essential is missing, though the field list is somewhat redundant against the output schema.

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% and the schema already documents lot_number as an integer from search results. The description largely restates that origin ('comes from pristine_auction_search's results[].lot_number'), adding a cross-tool pointer but no new syntax or format detail, so the baseline of 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 ('One Pristine Auction lot's full detail') and enumerates the exact fields returned, making clear this is a detail/lookup endpoint rather than a search. It is readily distinguishable from sibling pristine_auction_search, which it explicitly names as the source of the identifier.

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?

It establishes the prerequisite routing ('lot_number comes from pristine_auction_search's results[].lot_number'), which tells the agent this tool must follow a search. However, it never states when-not to use it or names any alternative detail source, so guidance is contextual but not exhaustive.

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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