Crawlora MCP

datasets_apps_charts_item

Read-only

Fetch one stored App Store or Google Play chart row by its exact chart_uid from datasets_apps_charts_search. The id identifies one store, collection, category, country, date, and rank; absent ids return 404. Use datasets_apps_charts_search to find chart records.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "chart_uid": "<chart_uid>"
    },
    "name": "datasets_apps_charts_item"
  }
}

Input Schema

Name	Required	Description	Default
`chart_uid`	Yes	Required exact chart_uid returned by datasets_apps_charts_search.

Output Schema

Name	Required	Description	Default
`data`	Yes	The tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

AddedNov 2, 2026

TDQS

A4.7/5.0

Behavior4/5

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 real context beyond that: absent ids return 404, and the uid encodes store, collection, category, country, date, and rank. It stops short of describing the payload shape, but an output schema exists to carry that.

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?

Three short sentences, front-loaded with the action and key, then the identifier semantics, then the sibling routing. No filler or repetition of schema text.

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?

For a one-parameter read tool with a full output schema, the description covers purpose, key provenance, failure behavior (404), and the alternative tool. Nothing needed to invoke it correctly is missing.

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?

Schema coverage is 100%, so the baseline is 3. The description goes further by explaining what the chart_uid actually represents (a composite of store, collection, category, country, date, rank) and where to obtain it, which is meaningfully beyond the schema's one-line note.

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 and resource ('Fetch one stored App Store or Google Play chart row') plus the exact key ('by its exact chart_uid'), which distinguishes it from the sibling datasets_apps_charts_search. An agent can tell immediately this is a single-record lookup, not a listing.

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

Usage Guidelines5/5

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

Explicitly names the alternative: 'Use datasets_apps_charts_search to find chart records', implying this tool is for retrieval once an id is known. That is a clear when-to-use / which-tool routing rule rather than an implied one.

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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