datasets_steam_prices_search

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

With no annotations, the description explains the data model (integer cents, appid×day documents) and usage patterns. It doesn't mention pagination limits or rate limits, but provides enough behavioral context for safe use.

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?

Three sentences, front-loaded: first states purpose, second gives key usage patterns, third lists sort options. No superfluous text. Highly efficient.

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?

The description explains the data model and common use cases. It lacks explanation of pagination constraints from the schema and output format, but is still informative for a search tool with no output schema.

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%, baseline 3. The description adds meaning by explaining how to combine parameters (e.g., app_id + sort for history) and clarifies the data structure, going beyond the schema's individual parameter descriptions.

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 searches the steam-prices dataset, covering daily price time series for priced games. It specifies the data structure (one document per appid×day, integer cents) and provides usage patterns distinguishing it from sibling steam tools like achievements or charts.

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 explicitly tells how to use parameters for specific tasks: app_id with sort=date_desc for price history, date for a snapshot. It lists sort options. It doesn't explicitly exclude other usages, but the context is clear.

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