time_series_daily

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

No annotations are provided, so the description carries full burden but offers no behavioral details. It doesn't disclose if this is a read-only operation, requires authentication, has rate limits, or what the output format is, leaving critical traits unknown for a data-fetching tool.

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 extremely concise with a single sentence, 'Fetch a time series daily', which is front-loaded and wastes no words. However, this brevity contributes to underspecification rather than clarity.

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 of a financial data tool with 3 parameters, no annotations, no output schema, and many siblings, the description is completely inadequate. It lacks essential details on behavior, parameters, and usage context, making it insufficient for effective tool invocation.

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 0%, and the description adds no parameter information. It doesn't explain what 'symbol', 'outputsize', or 'datatype' mean, their formats, or valid values, failing to compensate for the lack of schema documentation.

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 'Fetch a time series daily' clearly states the verb ('fetch') and resource ('time series daily'), but it's vague about what specific data is retrieved. It doesn't distinguish from siblings like 'time_series_daily_adjusted' or 'time_series_intraday', leaving ambiguity about scope and adjustments.

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 guidance is provided on when to use this tool versus alternatives. With many sibling tools (e.g., 'time_series_daily_adjusted', 'time_series_intraday'), the description lacks any context for selection, prerequisites, or exclusions, making it misleading for decision-making.

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