Read URLs (batch)

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

Annotations already mark this as read-only, idempotent, and non-destructive. The description adds valuable behavior: per-item failure isolation, a clean AIDocument output, the 20-URL cap, and a rationale for using the batch version.

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 core purpose, usage guidance, and failure behavior are front-loaded in three crisp sentences. The closing 'Powered by Lyrenth' is minor filler that prevents a perfect score.

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?

For a simple batch-read tool with rich annotations and full schema coverage, the description provides all the operational context an agent needs: result format, failure handling, batch scope, and use case. The absence of an output schema is mitigated by the clear 'clean AIDocument' statement.

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 100%, so the schema already documents urls, fresh, and max_tokens. The description adds no additional parameter-level meaning, which makes the baseline 3 appropriate.

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?

States a specific verb and resource: reading multiple public web pages in one batch and returning clean AIDocuments. It distinguishes itself from read_url by the 20-URL batch capability and the explicit use case of comparing or summarizing multiple pages.

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?

Gives a clear usage scenario: compare or summarize multiple pages at once, and notes it is faster than calling read_url repeatedly. It does not explicitly say 'use read_url for a single URL,' but the contrast with the sibling tool makes the boundary clear.

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