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Crawlora MCP

kick_channel_links

Read-only

List the panels a Kick channel shows under its stream: link panels (tip pages, merch, social profiles) with title, description, URL and image, and text panels such as FAQs and disclaimers, in display order. Use this to find a streamer's own links or channel rules text; a channel with no panels returns an empty list and an unknown channel returns not found.

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": {
      "slug": "<slug>"
    },
    "name": "kick_channel_links"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYesChannel slug from kick.com/{slug}, case-insensitive; a kick.com URL is also accepted

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. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already establish read-only/open-world safety, but the description adds genuinely useful behavioral detail: results come back in display order, a channel with no panels returns an empty list, and an unknown channel returns not found. These success/edge-case semantics go beyond what the annotations say. No mention of rate limits or auth, so not a 5.

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 tightly written sentences: the first defines what is returned and its ordering, the second gives usage and edge-case behavior. No filler, and the core purpose is front-loaded.

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 read-only, single-parameter lookup with a present output schema, the description covers purpose, usage, ordering, and the two failure modes (empty list, not found). Nothing an agent needs to call it correctly is missing, and return-value structure is handled by the output schema.

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 slug parameter is already fully described in the schema (slug from kick.com/{slug}, case-insensitive, URL accepted). The description adds no additional parameter-level meaning, 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 (List) and resource (the panels a Kick channel shows under its stream), then enumerates the two panel types (link panels with title/description/URL/image, and text panels like FAQs). This is clearly distinguishable from siblings like kick_channel_emotes, kick_channel_videos, or kick_channel_streams, which cover different channel content.

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?

The sentence 'Use this to find a streamer's own links or channel rules text' gives explicit usage context, telling the agent exactly what task this tool serves. It does not name alternative tools or state when-not to use it, which keeps it just short of a 5.

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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