datasets_steam_charts_search

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

With no annotations, the description explains data accumulation and default behavior (latest snapshot), but does not explicitly state read-only nature or potential side effects. It adds context on data model but could be more transparent about mutation guarantees.

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 a single paragraph that is well-structured and front-loaded with purpose. It contains no unnecessary sentences, though it is somewhat dense. Could be slightly more scannable.

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 the complexity (8 params, no output schema, no annotations), the description covers data model and key use cases but lacks output format details (e.g., fields returned). It mentions rank/players as an example but is not exhaustive.

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 coverage is 100%, but description adds significant context: explains chart enum values, how to use app_id with sort, and country restrictions. This goes beyond the schema descriptions to clarify parameter interactions.

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 it searches the steam-charts dataset, distinguishes from sibling steam datasets by specifying the data source (player-count and sales charts). It explains the chart types and their meanings, making the tool's purpose unambiguous.

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?

Provides specific usage patterns: no date returns latest snapshot, pairing app_id with date_desc for historical data, and country parameter usage. However, it does not explicitly mention when not to use this tool or contrast with sibling tools like datasets_steam_playercounts_search.

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