youtube_consumption_profile

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

readOnlyHint=true already declares this is a safe read, so credit is for what is added: 'local' implies the data comes from a local store rather than a live fetch, which is meaningful behavioral context. However, the description never states the prerequisite (that consumption data must first be imported) or what happens when the range contains no data — notable gaps for a local-analytics tool with sibling reset/import tools.

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?

A single front-loaded sentence with no filler — the resource and the scoping constraint come first. It is economical to the point of being thin, but nothing in it is wasted.

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?

There is no output schema, so the description should convey what the 'summary' actually contains (metrics, dimensions, granularity), and it does not. Combined with the unmentioned import prerequisite and the unresolved overlap with youtube_consumption_trends, an agent has too little to predict results or sequence its calls 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?

Schema description coverage is 100% and both required parameters (startDate, endDate) carry format and pattern documentation, so the schema does the heavy lifting. The description only echoes 'for a date range' without adding semantics like inclusive/exclusive bounds, maximum span, or timezone behavior. Baseline 3 applies.

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?

States a specific verb ('Summarize') and resource ('local consumption analytics') scoped to a date range, so the agent knows it produces an aggregate report rather than raw data. The word 'local' usefully signals this reads locally stored data, not the live YouTube API. It does not, however, distinguish itself from the close sibling youtube_consumption_trends, which also appears to report on consumption.

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?

No when-to-use / when-not-to-use guidance and no named alternative. An agent must guess whether this or youtube_consumption_trends is the right aggregation tool, and nothing indicates whether a prior import (e.g. youtube_import_takeout) is needed before metrics exist.

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