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googleSandy

Google Threat Intelligence MCP Server

by googleSandy

search_threat_actors

Search for threat actors by query in Google Threat Intelligence. Sort results by relevance or creation date.

Instructions

Search threat actors in the Google Threat Intelligence platform.

Threat actors are modeled as collections. Once you get collections from this tool, you can use get_collection_report to fetch the full reports and their relationships.

You can use order_by to sort the results by: "relevance", "creation_date". You can use the sign "+" to make it order ascending, or "-" to make it descending. By default is "relevance-"

Args: query (required): Search query to find threats. limit: Limit the number of threats to retrieve. 10 by default. order_by: Order results by the given order key. "relevance-" by default.

Returns: List of collections, aka threats.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo
order_byNorelevance-
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses the return format (list of collections) and ordering defaults, but does not explain authentication requirements (api_key parameter), rate limits, or side effects. This is 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?

The description is concise and well-structured: brief intro, usage guidance, then args list with defaults and syntax. Every sentence adds value, and it is front-loaded with the primary purpose.

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 presence of an output schema, the description need not detail return values. It mentions returning a list of collections. With a complex tool and many siblings, it provides sufficient context for an agent to understand the tool's role.

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 0%, so the description must compensate. It explains query (required), limit (default 10), and order_by (default and syntax). However, the api_key parameter is undocumented in both schema and description, leaving a gap.

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 it searches threat actors in Google Threat Intelligence, specifying that threat actors are modeled as collections. It also mentions the downstream use of get_collection_report, distinguishing it from siblings like search_threats or search_malware_families.

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 provides usage guidance: after retrieving collections, use get_collection_report for full reports. It also explains ordering syntax. However, it does not explicitly exclude scenarios or name alternative tools, though the context is clear.

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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