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bulk_audit

Audit up to 50 websites in one request, then view a summary table with level and score for each URL.

Instructions

Audit multiple websites at once (up to 50). Returns a summary table with level and score for each URL. Requires authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesList of URLs to audit (max 50)
Behavior3/5

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

No annotations are provided, so the description carries full responsibility. It does mention authentication and the summary table output, adding some transparency. However, it does not disclose whether the audit is read-only, how partial failures are handled (e.g., if some URLs fail), or any rate limits, which are important behavioral traits for a bulk operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded with the core action and scope. Two sentences contain everything essential: what it does, the limit, output format, and authentication requirement. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple bulk operation with one parameter and no output schema, the description covers the main facets: input, limit (50), output (summary table), and auth. However, it omits potential edge cases like partial failures or behavior when some URLs are invalid, which are relevant for a bulk operation. Thus it is complete for standard use but has minor gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the parameter description already specifies URLs and max 50. The description mirrors the schema constraints ('up to 50') without adding new semantic meaning. The baseline for full schema coverage is 3, and the description provides no additional parameter insight beyond a slight restatement.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool audits multiple websites at once (up to 50), using a specific verb ('Audit') and resource ('websites'). It distinguishes itself from siblings like audit_url (single URL) and compare_urls/leaderboard by emphasizing the batch nature.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when auditing multiple URLs (up to 50) in one operation, but does not explicitly exclude alternatives or mention when to use sibling tools like audit_url for a single URL. It provides clear context without formal exclusions.

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

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