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Chrome Enterprise Premium MCP Server

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by google

create_url_list_detector

Create a DLP URL list detector to define a set of URLs for matching. Use its resource name in rule conditions to apply the detector.

Instructions

Creates a new DLP URL list detector. Detectors are building blocks for DLP rules. After creating a detector, you must reference its resource name in a 'create_chrome_dlp_rule' condition (e.g., using the 'matches_detector' function).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesA list of URLs to match.
customerIdNoThe Chrome customer ID (e.g. C012345)
descriptionNoAn optional description for the detector.
displayNameYesThe display name for the detector.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
detectorYes
Behavior3/5

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

The description discloses that the tool creates a detector and that the result is used in a rule condition. However, with no annotations, it lacks details about side effects, authorization requirements, or return value (though output schema exists). The behavioral information is adequate but not rich.

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, front-loaded with purpose and immediate usage context. Every sentence adds value; there is no redundancy.

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?

Given the tool complexity (creation, part of workflow, output schema exists), the description covers the essential workflow linkage. It could mention the return value or permissible operations, but it is largely complete for an experienced agent.

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%, with each parameter described in the schema. The description adds no additional parameter semantics beyond the schema. Baseline 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 explicitly states 'Creates a new DLP URL list detector', using a specific verb and resource. It distinguishes from sibling detectors (create_regex_detector, create_word_list_detector) by the 'URL list' qualifier.

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 explains that detectors are building blocks for DLP rules and that after creation the resource name must be referenced in 'create_chrome_dlp_rule'. This provides clear context for when to use the tool, but it does not explicitly compare against regex or word list detectors.

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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