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Crawlora MCP

amazon_charts

Read-only

Amazon Best Sellers / New Releases / Most Wished For charts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeNoOptional. Numeric browse node id scoping the chart to one of the department's subcategories. Discover valid values with amazon-charts-categories.
pageNo1-based page number, default 1. Amazon charts are capped at a small number of pages per category; requesting a page past the last one returns a not-found error.
chartYesRequired. Chart type. Allowed values: best_sellers, new_releases, most_wished_for.
departmentYesRequired. Amazon department slug, e.g. electronics. Discover valid values with amazon-charts-categories.

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

C2.5/5.0
Behavior2/5

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 nothing beyond that — no note that results are ranked snapshots, no pagination/rate-limit context (the page-cap behavior lives only in the schema), and no indication of result volatility. It fails to earn credit over the structured fields.

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

Conciseness3/5

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

It is a single short, front-loaded fragment with no filler, so it is structurally clean. But its brevity comes from under-specification rather than tight writing — the one sentence carries almost no operational content.

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

Completeness2/5

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

An output schema and full annotation coverage exist, so return values need not be described. Still, for a multi-parameter chart-fetching tool the description never states the operation, the discovery prerequisite, or the retrieval semantics, leaving the agent to reconstruct intent entirely from schema and annotations.

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%, with each of the four parameters documented (chart enum values, department slug, node scoping, page cap), so the baseline is 3. The description's enumeration of the three chart types merely echoes what the schema already says and adds no format or constraint detail.

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

Purpose3/5

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

The description names the resource (Amazon charts) and enumerates the three supported chart types, which is more than a pure restatement of the name. However, it is a bare noun phrase with no verb, and it never distinguishes this fetch tool from the closely related amazon_charts_categories (mentioned only in the schema) or from amazon_search/amazon_product. An agent can infer the domain but not the operation.

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

Usage Guidelines2/5

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

There is no when-to-use guidance at all: nothing explains that this retrieves ranked Amazon chart listings, when to prefer it over amazon_search or amazon_product, or that amazon_charts_categories must be consulted first to obtain valid department/node values. The schema hints at discovery but the description offers no 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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