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filter_ocel_cc

Filter an object-centric event log by connected component using activity, object, object type, or component size strategies.

Instructions

Connected-component filtering — the OCEL-specific power feature.

Dispatches on strategy:

  • "activity" — keep events in the connected component containing any object touched by activity value (string). retain is ignored.

  • "object" — keep events in the connected component containing the object with id value (string). retain is ignored.

  • "otype" — filter by the connected component of an object type. value is a string; retain controls keep-vs-drop.

  • "length" — keep CCs whose size is in [min, max]. value is a two-element integer list [min, max]. retain is ignored.

PM4Py's CC filters are marked experimental; expect occasional edge-case failures on malformed OCELs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYes
retainNo
ocel_idYes
strategyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries full burden. It discloses experimental status, dispatch behavior, and potential edge-case failures, adding significant context beyond schema.

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?

Description is well-structured with bullet points, front-loaded with purpose, and every sentence adds value without repetition.

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

Completeness5/5

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

Given complexity (4 params, experimental status, output schema exists), description is fully complete, covering strategies, values, and limitations.

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?

Schema coverage is 0%, but description fully explains every parameter's meaning based on strategy, including value types and retain behavior, adding substantial semantic value.

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 performs connected-component filtering on OCELs, with specific strategies. It distinguishes from sibling OCEL filters by focusing on CC filtering.

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 explains when to use each strategy and notes that retain is ignored for some. It does not explicitly exclude contexts but provides clear guidance on dispatches.

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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