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Crawlora MCP

spotify_podcasts_show_recommendations

Read-only

Fetch normalized recommendation items for related Spotify shows and episodes by show uri. Use spotify_podcasts_show for show details or spotify_podcasts_show_episodes for its episode list.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "spotify_podcasts_show_recommendations"
  }
}

Input Schema

NameRequiredDescriptionDefault
uriNoSpotify podcast show URI to fetch related shows and episodes for, default spotify:show:1QQJ7FElLE0K6CIfZNCxU4.

Output 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
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 that results are 'normalized' recommendation items, a small piece of output-shape context, but says nothing about pagination, auth, or limits.

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?

Two tight sentences with the primary action front-loaded, followed by sibling routing. Zero filler.

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?

An output schema exists, so return values need not be explained. For a single-optional-parameter read tool, the description plus annotations plus output schema cover everything an agent needs to invoke it correctly.

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 single `uri` parameter is fully documented in the schema, including its default. The description's 'by show `uri`' adds only marginal emphasis beyond what the schema already states, so the baseline 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 (Fetch) and resource (normalized recommendation items for related Spotify shows and episodes) scoped to a show `uri`. This clearly distinguishes it from spotify_podcasts_show and spotify_podcasts_show_episodes, which the description explicitly names as different.

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?

Explicitly routes the agent to siblings: 'Use spotify_podcasts_show for show details or spotify_podcasts_show_episodes for its episode list.' That gives clear context for when this tool is not the right choice, though it never restates when-to-use in positive terms beyond the implied 'when you want recommendations'.

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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