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yahoo_sports_video_headlines

Read-only

Fetch current Yahoo Sports headline cards for one list_id from yahoo_sports_video_list_catalog. count accepts 1 or 6 as used by the page and defaults to 6; an empty live-channel list is valid. Playback streams are not returned.

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": {
      "list_id": "<list_id>"
    },
    "name": "yahoo_sports_video_headlines"
  }
}

Input Schema

NameRequiredDescriptionDefault
countNoOptional. Yahoo page request count: 1 or 6. Defaults to 6.
list_idYesRequired. Yahoo video list ID from the Watch page's videoListId or VideoListId field.

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 declare read-only and open-world, so the bar is lower; the description still adds real behavioral context: count is constrained to 1 or 6 with a default of 6, and an empty live-channel list is a valid response (preventing an agent from retrying or treating it as an error). It does not discuss caching or freshness beyond 'current'.

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, each carrying distinct information: identity+provenance, count constraint, and response caveats. Nothing is redundant and the identifying clause 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 two-parameter read tool with full schema coverage, complete annotations, and an output schema that documents the return shape, the description covers the remaining agent-relevant gotchas: where list_id comes from, the legal count values, empty-list validity, and the absence of playback streams.

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%, so the schema already documents both list_id provenance and the '1 or 6, defaults to 6' count constraint. The description largely restates those facts rather than adding new meaning such as what the difference between count=1 and count=6 produces; baseline 3 is appropriate.

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 concrete verb ('Fetch') and resource ('current Yahoo Sports headline cards') scoped to a single list_id, and explicitly names the sibling tool yahoo_sports_video_list_catalog as the source of that ID. An agent can distinguish this from the catalog and other Yahoo Sports video tools without opening a schema.

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?

It establishes the prerequisite (list_id must come from yahoo_sports_video_list_catalog) and a scope exclusion ('Playback streams are not returned'), which steers an agent away from using this for stream URLs. It stops short of naming a concrete alternative for playback data, so it is strong context rather than a full use/avoid matrix.

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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