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googleSandy

Google Threat Intelligence MCP Server

by googleSandy

update_iocs_in_collection

Add or remove Indicators of Compromise (IOCs) like domains, files, IP addresses, or URLs in a Google Threat Intelligence collection to maintain current threat data.

Instructions

Updates (add or remove) Indicators of Compromise (IOCs) to a collection. Args: id (required): The ID of the collection to update. relationship (required): The type of relationship to add. Can be "domains", "files", "ip_addresses", or "urls". iocs (required): List of IOCs to add to the collection. For "urls", these are the full URLs. For other types, they are the identifiers (hashes for files, domain names for domains, etc.). operation (required): The operation to perform. Can be "add" or "remove".

Returns: A string indicating the success or failure of the operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
relationshipYes
iocsYes
operationYes
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool performs 'add or remove' operations but doesn't mention authentication requirements (though 'api_key' is in the schema), rate limits, error conditions, or what 'success or failure' entails. The description lacks critical behavioral details for a mutation tool.

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

Conciseness4/5

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

The description is well-structured with a clear purpose statement followed by detailed parameter explanations and return information. It's appropriately sized for a tool with 5 parameters, though the 'Returns' section could be more concise. Every sentence 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 the tool's complexity (mutation with 5 parameters), no annotations, and an output schema present, the description is reasonably complete. It explains all required parameters thoroughly and mentions the return type. However, it lacks behavioral context like authentication needs or error handling that would be important for a mutation tool.

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

Parameters5/5

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

The description provides comprehensive parameter semantics beyond the schema, which has 0% description coverage. It explains each required parameter's purpose, enumerates valid values for 'relationship' and 'operation', and clarifies format expectations for 'iocs' based on relationship type. This fully compensates for the schema's lack of descriptions.

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's purpose with specific verbs ('Updates (add or remove)') and resource ('Indicators of Compromise (IOCs) to a collection'), distinguishing it from siblings like 'create_collection' or 'update_collection_attributes'. It precisely defines what the tool does without being tautological.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, differentiate from sibling tools like 'search_iocs' or 'update_collection_attributes', or specify appropriate contexts. Usage is implied but not explicitly stated.

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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