get_weather_page_content

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

No annotations are provided, so the description carries full responsibility. It adds context by mentioning the prerequisite (page open) and the action (extract and clean), but it does not explicitly state whether the operation is read-only, describe side effects, or disclose return format (though an output schema exists). It gives some behavioral context but not comprehensive disclosure.

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 two sentences, with the first stating the core action and purpose, and the second providing usage sequencing. Every word earns its place, no redundancy, and the structure is front-loaded for quick comprehension.

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 tool has no parameters, an output schema exists, and the description names the step relative to siblings, it is appropriately complete. It explains what it does, why it's used, and when to call it, which is sufficient for a simple extraction utility in a workflow.

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 tool has zero parameters and schema coverage is 100%. The description adds no parameter details, but with no parameters to document, the baseline of 4 applies. The description doesn't need to compensate for any undocumented parameters.

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 uses a specific verb phrase 'Extract and clean' with a clear resource 'current forecast page text' and purpose 'so the LLM can answer the user (RAG step)'. It clearly distinguishes itself from the sibling navigation tools (open/enter/select) by focusing on post-navigation content 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 provides explicit usage timing with 'Call this after the city forecast page is open', which clarifies when to invoke it relative to the navigation siblings. It does not name explicit alternatives or when-not-to-use cases, but the sequencing guidance is clear and practical.

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