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jmaciasc-google

Google Threat Intelligence MCP Server

get_entities_related_to_a_hunting_ruleset

Retrieve files that matched a hunting ruleset's filters by providing the ruleset ID and relationship name.

Instructions

Retrieve entities related to the the given Hunting Ruleset.

The following table shows a summary of available relationships for Hunting ruleset objects.

Relationship

Return object type

hunting_notification_files

Files that matched with the ruleset filters

Args: ruleset_id (required): Hunting ruleset identifier. relationship_name (required): Relationship name. limit: Limit the number of entities to retrieve. 10 by default. Returns: List of objects related to the Hunting ruleset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
ruleset_idYes
relationship_nameYes

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 the burden. It mentions the default limit and return type but lacks disclosure of read-only nature, error conditions, or authentication needs. The relationship table adds context.

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 Args and Returns sections. The table is necessary and concise. It is not overly long but includes essential details.

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

Completeness3/5

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

Given there is an output schema, the description adequately covers parameters and return type. However, it is missing details like pagination, error handling, or limits on the number of entities retrieved.

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?

With 0% schema coverage, the description adds meaning by explaining ruleset_id, relationship_name (via table), and limit with default. However, it does not elaborate on valid values for relationship_name beyond the table.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves entities related to a Hunting Ruleset and provides a table of relationships. However, it does not explicitly differentiate from sibling tools like get_entities_related_to_a_collection, though the target entity is distinct.

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?

No guidance is given on when to use this tool versus alternatives. There are no explicit when-to-use or when-not-to-use statements, nor mention of prerequisites.

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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