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Crawlora MCP

fanaticscollect_sold_items

Read-only

Search Fanatics Collect's sales-history archive -- every completed sale across every marketplace, not just what the live search index currently surfaces.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number, default 1.
sortNoResult order. One of the values from GetCategories' sold_item_sort_options. Default sold_date_desc.
titleNoFree-text search across item title.
categoryNoOne of the values from GetCategories' sold_item_categories.
max_yearNoMaximum card/item year, inclusive.
min_yearNoMinimum card/item year, inclusive.
per_pageNoResults per page, default 20, max 100.
max_priceNoMaximum sold price, inclusive.
min_priceNoMinimum sold price, inclusive.
grading_serviceNoOne of the values from GetCategories' sold_item_grading_services, including ungraded for raw items.
eye_appeal_gradeNoOne of the values from GetCategories' eye_appeal_grades.

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

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful scope context (archive of every completed sale across every marketplace), but says nothing about pagination, result caps, or data recency beyond the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with zero waste; the key distinction (historical archive vs. live index) is stated immediately.

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?

An output schema exists, so return values needn't be described, and all parameters are documented. The description adequately conveys scope for a filtered search tool, though it could note pagination bounds and the archive's recency.

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 all 11 parameters are documented in the schema itself. The description adds no parameter-level detail, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Search) and resource (Fanatics Collect's sales-history archive of completed sales), and clarifies scope as historical sales rather than live listings. It implies a contrast with a live-search sibling but doesn't name it explicitly.

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

Usage Guidelines3/5

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

Implies the use case (historical sold data vs. what the live search index surfaces) but names no alternative tool and gives no explicit when-not guidance. Usable context, but the agent must infer the routing.

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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