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Crawlora MCP

datasets_apple_podcasts_shows_item

Read-only

Apple Podcasts shows dataset record by show id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesApple Podcasts numeric show id, e.g. 173001861.

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

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds no behavioral context—nothing about what the record contains, whether it errors on missing ids, or any rate limits.

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?

A single fragment with no filler, front-loaded with the resource and key. It is appropriately sized for a simple lookup, though the lack of a verb makes it feel slightly clipped.

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

Completeness3/5

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

Output schema and annotations exist, so the description needn't explain return values. For a one-parameter lookup, the essential resource and key are present, but the absence of usage guidance and sibling differentiation leaves a small gap.

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% and the id parameter is fully documented in the schema (numeric show id with example). The description merely repeats 'by show id' and adds no format, validation, or example detail beyond the schema.

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?

Names the resource (Apple Podcasts shows dataset) and the key (show id), making clear it returns a single dataset record. However, it lacks an explicit verb and does not distinguish itself from sibling search/facets tools or the non-dataset apple_podcasts_show tool.

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?

No when-to-use guidance, no mention of alternatives (search or facets), and no prerequisites or context for when this item lookup is appropriate. The agent must infer everything from the tool name.

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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