youtube_analytics_daily

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

With no annotations provided, the description carries the full behavioral burden. It discloses the return format (one row per day with specific metrics) and default date ranges, which are key behavioral traits. It does not mention edge cases like missing days or timezone handling, but for a read-only analytics tool this is sufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded with the main purpose, followed by a clear 'Args' section. Every sentence adds value, with no filler or repetition of schema information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter read tool with no output schema, the description provides enough context: what it returns, what the parameters do, and how they default. It lacks details on result ordering or handling of days without data, but the overall picture is complete enough for an agent to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema only provides parameter titles with no descriptions, so schema coverage is 0%. The description compensates fully by giving the date format (YYYY-MM-DD) and effective defaults (28 days ago, today) for both parameters, adding critical meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Get daily performance metrics over time' with 'one row per day' output. It distinguishes itself from sibling analytics tools by emphasizing daily granularity and trend spotting, which is unique among the listed analytics siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides explicit use cases ('spotting trends and finding optimal posting days') that indicate when this tool is appropriate. It does not explicitly mention when not to use it or name alternatives, but the context is clear enough for an agent to select it over the many other analytics tools.

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