browser_extract_tables_for_date_range

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It mentions the actions but omits critical details such as potential page navigation, loading waits, error handling, or side effects like modifying browser state or submitting forms.

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 sentence that efficiently conveys the tool's purpose without unnecessary words. It is front-loaded with the key action sequence.

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 absence of annotations and an output schema, the description is insufficiently complete. It does not explain what the tool returns after extraction, how it handles missing or invalid inputs, or the full behavioral context of the composite action.

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?

The description does not mention any parameters, leaving the agent to rely solely on the schema. The schema only provides format hints for required parameters and no semantic meaning for optional ones (max_rows, max_tables). The description fails to add value beyond the schema.

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 performs a sequence of actions: setting a date range, submitting it, and extracting visible tables. It effectively distinguishes itself from sibling tools like 'browser_extract_tables' (no date setting) and 'browser_set_date_range' (no extraction).

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 implies usage for date-filtered table extraction by combining actions, but it does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention prerequisites or when not to use it.

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