Skip to main content
Glama
jmaciasc-google

Google Threat Intelligence MCP Server

get_collection_timeline_events

Retrieve curated timeline events for threat intelligence collections, grouped by event category, to analyze campaigns and threat actors.

Instructions

Retrieves timeline events from the given collection, when available.

This is super valuable curated information produced by security analysits at Google Threat Intelligence.

We should fetch this information for campaigns and threat actors always.

It's common to display the events grouped by the "event_category" field.

Args: id (required): Collection identifier Return: List of events related to the given collection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
Behavior3/5

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

No annotations are provided, so the description bears full burden. It notes events are retrieved 'when available' and are 'super valuable curated information', indicating data quality and availability, but lacks details on error handling, permissions, or pagination.

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 front-loaded with the purpose, followed by valuable context and usage recommendation, then parameter and return definitions. Each sentence adds value, no redundancies.

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?

While the tool is simple (one parameter, no output schema), the description omits details about the structure of returned events beyond mentioning 'event_category', and does not specify if the list can be empty or other fields. For an AI agent, this could leave ambiguity about the return format.

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 description coverage, the description must define the parameter. It states 'id (required): Collection identifier', which is basic but sufficient. No example or formatting hints are given.

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 retrieves timeline events from a given collection, distinguishing it from siblings like 'get_collection_feature_matches' and 'get_threat_profile_associations_timeline' by focusing on collection-specific curated timeline data.

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 explicitly recommends fetching this information 'for campaigns and threat actors always', providing clear positive use-case guidance, though it does not discuss when not to use it or compare to alternatives explicitly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jmaciasc-google/gti-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server