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zins_get_cyber_incidents

Read-only

Retrieve cybersecurity incidents grouped by category, including security events and attack breakdowns. Specify time range and categories to filter results.

Instructions

Provides cybersecurity incidents grouped by category, including security events, cyber attacks, and incident breakdowns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_days_agoNoDays ago for start. API requires EXACTLY 7 or 14 day intervals. Default: 16 (with end_days_ago=2 gives 14-day interval). For 7-day: use 9. For 14-day: use 16.
end_days_agoNoDays ago for end. Default: 2 (data has 24-48hr delay). Interval = start_days_ago - end_days_ago must be 7 or 14.
start_timeNoALTERNATIVE: Start time as Unix epoch in MILLISECONDS. Only use if you need a specific timestamp. Overrides start_days_ago.
end_timeNoALTERNATIVE: End time as Unix epoch in MILLISECONDS. Only use if you need a specific timestamp. Overrides end_days_ago.
categorize_byNoCategories to group incidents by. Values: THREAT_CATEGORY_ID, APP_ID, USER_ID, TIME, SRC_COUNTRY. Default: ['THREAT_CATEGORY_ID']
limitNoMaximum number of incident entries to return (1-1000).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

The description adds no behavioral context beyond the readOnlyHint annotation. It does not disclose rate limits, data latency (e.g., 24-48hr delay mentioned in schema), pagination behavior, or other traits important for agent decision-making.

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 concise at one sentence (14 words) and front-loads the key verb and resource. However, it could be more structured or include a brief note on usage context.

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 the presence of an output schema and full parameter descriptions, the description is minimally adequate. However, it misses contextual details like the required 7/14-day interval constraint (present only in param descriptions) and lacks sibling differentiation, which would complete the picture.

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 100%, so the schema already fully documents all 6 parameters. The description adds minimal extra meaning beyond the schema, e.g., 'grouped by category' loosely relates to categorize_by but is already detailed in the schema. Baseline of 3 is appropriate.

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 the tool provides cybersecurity incidents grouped by category, specifying types like security events and cyber attacks. However, it does not differentiate from sibling tools like zins_get_cyber_incidents_by_location or zins_get_cyber_incidents_by_threat_and_app, which also retrieve cyber incidents with different grouping or filtering.

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. There is no mention of context, prerequisites, or exclusions, leaving the agent to infer usage from the name and schema alone.

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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