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Chrome Enterprise Premium MCP Server

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by google

create_word_list_detector

Creates a DLP word list detector for use in Chrome DLP rules. After creation, reference the detector's resource name in a rule condition with the matches_detector function.

Instructions

Creates a new DLP word 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
wordsYesA list of words to match. Total character count across all words must be 12500 or less.
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?

No annotations provided, so description must disclose behavior. It mentions the resource name usage but not side effects, auth needs, rate limits, or constraints beyond schema. Schema has max items and char count but description does not highlight them. Adequate but not comprehensive.

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?

Two sentences: first states action, second explains next step. No redundancy, front-loaded, every word adds value.

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 output schema exists and schema covers all parameters, the description adequately explains purpose and follow-up. Could include more about error scenarios or duplicates, but overall sufficient.

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%, so baseline is 3. Description does not add specific parameter details beyond schema, but the context of using the returned resource name indirectly adds value. No param-specific elaboration.

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?

Describes creating a DLP word list detector, a specific building block for rules. Distinguishes from siblings like create_regex_detector and create_url_list_detector by naming the type ('word list').

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?

Advises that after creating, the resource name must be referenced in create_chrome_dlp_rule. Does not explicitly state when to use this vs alternatives, but the context implies word list need. Could improve by mentioning alternatives.

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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