batch_extract_web_content

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

No annotations are provided, so the description carries the behavioral disclosure burden. It does disclose concurrency, output format, and token statistics, which are genuinely useful. However, it does not mention failure behavior, retries, partial failures, rate limits, or what happens when a URL cannot be fetched.

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, compact sentence that front-loads the core purpose, then adds concurrency and statistical output details. There is no filler, and every phrase adds distinguishing information.

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?

With no annotations and no output schema, the description must supply more contextual completeness. It gives the essential purpose and concurrency trait, but it omits output shape, retry/failure semantics, and any usage comparison to sibling tools. For an 8-parameter tool with 100% schema coverage, this is still not fully complete.

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 input schema has 100% parameter description coverage, so the schema already documents all parameters well. The description adds no parameter-specific meaning beyond stating that the tool works on multiple URLs; therefore the baseline 3 is 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?

The description clearly identifies the action ('batch extract'), resource ('web content from multiple website URLs'), output format ('token-optimized Markdown'), and a distinctive trait ('concurrently with aggregate token statistics'). This distinguishes it from the likely single-URL sibling `extract_web_content` and from structured extraction (`extract_structured_data`).

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 word 'batch' and phrase 'multiple website URLs' imply this tool is for multi-URL scenarios, which provides useful context. However, there is no explicit guidance about when to prefer this over `extract_web_content` or `extract_structured_data`, and no stated exclusion conditions.

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