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Tv Insights

tv_insights

Analyze TV viewing habits, screen time, and subscription value by day, week, or month to check if platform costs match actual usage.

Instructions

Get viewing insights, screen time, or subscription value analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNo"day", "week", or "month".week
report_typeNo"full" (formatted report), "screen_time", or "sub_value:platform:cost" (e.g. "sub_value:netflix:17.99").full

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

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral burden. 'Get' implies a read-only operation, but the description does not state permissions, side effects, rate limits, or whether data is cached or live. More context is needed for a tool with zero annotation coverage.

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?

The description is a single efficient sentence with no filler, and the core purpose is front-loaded. Every word earns its place.

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?

The tool is low-complexity with two optional parameters, full schema descriptions, and an output schema, so the description need not explain return values. However, it is incomplete for routing among 22 sibling tools and lacks behavioral context in the absence of annotations. Adequate but with clear gaps.

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 two optional parameters are fully documented in the schema itself. The description mentions 'screen time' and 'subscription value analysis', which loosely correspond to report_type values, but adds no syntax or format details beyond what the schema already provides. Baseline 3 is appropriate when the schema does the heavy lifting.

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 uses a clear verb ('Get') and names three specific report types ('viewing insights', 'screen time', 'subscription value analysis'), so the purpose is immediately clear. It does not, however, differentiate this tool from sibling tools like tv_history or tv_recommend, which could overlap in some contexts.

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?

The description offers no when-to-use guidance, no prerequisites, and no alternatives. It only states what the tool returns; an agent must infer usage context from the name and schema alone.

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