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Glama

Tv Whats On

tv_whats_on

Find trending shows and videos on Netflix or YouTube; set a limit per platform or search both at once.

Instructions

Show trending content on Netflix and/or YouTube.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results per platform (default 10).
platformNo"netflix", "youtube", or omit for both.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.2
  2. Removedv0.3.0
  3. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full behavioral burden, yet it says nothing about whether this is a read-only fetch, how fresh the trending data is, region/locale behavior, or whether it triggers any network/account side effects. For a zero-annotation tool this is a meaningful gap.

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 front-loaded sentence with zero filler, which is appropriate for a simple query tool. It is arguably slightly too thin given the lack of any usage or behavioral framing, keeping it just short of a 5.

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?

An output schema exists, so return values need not be explained, and the parameter set is fully covered by the schema. However, the absence of annotations means the description should have supplied the read-only/behavioral context it omits, leaving the definition only minimally viable.

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 both parameters are already fully documented in the schema, making 3 the baseline. The description's 'Netflix and/or YouTube' does loosely reinforce the platform parameter's omit-for-both semantics, but adds no syntax or limit 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?

The description names a specific verb ('Show') and resource ('trending content') scoped to two named platforms, so an agent immediately understands the operation. It does not, however, distinguish itself from the nearby sibling tv_recommend, which plausibly offers overlapping recommendation-style functionality.

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?

There is no when-to-use guidance and no mention of alternatives such as tv_recommend or tv_history. The only routing signal is implicit in the platform parameter, so the agent must infer when this tool is the right choice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.