alterlab_batch

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

Without annotations, the description carries full burden. It discloses parallel execution, anti-bot bypass, immediate batch_id return, and credit pre-debit/refund. Missing details on error handling or rate limits, but overall informative.

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?

Five sentences, each adding value: core function, benefit, immediate response, customization, credit behavior. No redundancy, well-structured, and front-loaded.

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?

Covers the main workflow and key behaviors. Lacks mention of expected result format from 'alterlab_batch_status', but since that's a separate tool, completeness is acceptable.

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 coverage is 100%, so baseline is 3. The description adds context about per-URL customization and anti-bot protection but does not significantly extend beyond schema definitions.

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 scrapes up to 100 URLs in parallel, using a specific verb ('scrape') and resource ('URLs'). It distinguishes itself from sibling 'alterlab_scrape' by emphasizing efficiency and parallelism.

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?

Explicit guidance is provided: 'Use this whenever you need to scrape more than 2-3 URLs.' This advises when to use the batch tool versus sequential alternatives, fulfilling the dimension well.

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