datasets_steam_playercounts_search

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

With no annotations provided, the description carries full burden but only adds minimal behavioral context: it mentions the data model (one document per appid × day) and sort enum defaults. It does not disclose rate limits, authentication, or destructive potential, but implies read-only by nature of search.

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 three sentences with front-loaded purpose. While the second sentence is somewhat packed, it efficiently conveys usage. Could be slightly more concise but achieves clarity without wordiness.

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?

Given no output schema, the description adequately explains the data structure and common use cases. It covers sorting and date filtering but does not elaborate on pagination behavior beyond what the schema already provides for page and page_size. Overall, it meets the needs for this type of search tool.

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?

All 5 parameters have schema descriptions (100% coverage), and the description adds usage patterns beyond schema, such as combining app_id with sort for history or using date for snapshots. It also clarifies the sort enum values and default.

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 identifies the tool as searching the steam-playercounts dataset for daily concurrent-player time series, using specific verbs like 'Searches' and 'Pair'. It distinguishes from sibling dataset tools by focusing on player counts, with examples showing typical queries.

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?

The description advises when to use different parameter combinations: 'Pair app_id with sort=date_desc for a game's player-count history, or pass date for one day's snapshot.' It does not explicitly exclude alternative tools but gives clear context for this tool.

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