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Add a website

add_website

Register a website with the organization without running an audit (run_audit registers automatically, so this is only needed to set a site up ahead of time). Returns the website_id; idempotent per domain, so calling it again returns the existing website. Pass kind to classify it as owned or prospect up front.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesWebsite URL to register, e.g. https://example.com (scheme optional).
kindNoClassify the site: 'owned' for something the user runs and monitors, 'prospect' for a lead or competitor. Filterable in list_websites. Unclassified sites read as 'owned', so only an explicit 'prospect' makes a site show up in a prospect cleanup. Re-calling with a different value reclassifies it.

TDQS

A4.7/5.0
Behavior5/5

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

The description discloses key behavioral traits beyond the annotations: idempotency ('calling it again returns the existing website'), return value ('Returns the website_id'), and the default classification behavior ('unclassified sites read as "owned"'). This is rich context that annotations alone do not provide. No contradiction with annotations.

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 two sentences that are front-loaded with the core purpose, then efficiently cover alternatives, side effects, return value, and parameter guidance. Every clause earns its place with no fluff or repetition.

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

Completeness5/5

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

For a simple two-parameter tool with no output schema, the description fully addresses prerequisites, behavior, and return value. It mentions idempotency, the relationship with run_audit, and classification semantics, leaving no critical gaps in understanding.

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 description coverage is 100%, so the schema already documents both 'url' and 'kind' thoroughly. The description adds only minor usage context ('Pass kind to classify it as owned or prospect up front'), which is helpful but largely redundant with the schema's detailed enum explanation. Baseline of 3 is appropriate.

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 action ('Register a website with the organization') and explicitly distinguishes it from run_audit by noting it does so 'without running an audit'. This makes the tool's purpose unambiguous and differentiates it from the most relevant sibling tool.

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

Usage Guidelines5/5

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

The description explicitly states when this tool is needed ('only needed to set a site up ahead of time') and names the alternative (run_audit) that also registers automatically. This provides clear when-to-use and when-not-to-use guidance.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool maps to a distinct resource-action pair: websites, audits, issues, rules, credits, notifications, and account info are cleanly separated. Even the close pairs (delete_website vs delete_websites, get_rule vs list_rules) are clear singular/bulk or fetch-all vs fetch-one distinctions.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern: add_, delete_, get_, list_, run_, comment_, send_, create_. The only outlier, whoami, is a conventional standalone command and does not break the overall predictability.

Tool Count4/5

At 20 tools, the surface is slightly heavy, but the count is justified by the wide domain coverage: audit lifecycle, issue tracking, rule catalog, billing/credits, notifications, and account management. Each tool appears to earn its place, and none feel redundant.

Completeness4/5

The core workflow is well covered: run an audit, poll it, fetch a report, compare audits, list and comment on issues, browse rules, and manage websites. Minor gaps exist—no cancel-audit tool, no update_website, and issues cannot be status-changed—but agents can work around these using the existing tools.