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abstract_log_features

Generate a textual description of event log features: activity set, concurrency, and timing.

Instructions

Textual description of log-level features (activity set, concurrency, timing).

Wraps pm4py.algo.querying.llm.abstractions.log_to_fea_descr.apply. Truncated at max_len characters (pm4py's native limit).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
log_idYes
max_lenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must carry the burden of behavioral transparency. It discloses that the output is truncated at max_len characters, but does not mention if the tool is read-only, safe, or has any side effects. Minimal behavioral info.

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 short and front-loaded with the purpose. However, it includes an implementation detail (wraps a specific function) that may be unnecessary for an agent.

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 (as indicated by context) and only two parameters, the description adequately covers the output as a textual description and the truncation behavior. However, it lacks information on error handling or prerequisites for log_id.

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

Parameters2/5

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

The schema has 0% description coverage, leaving the description to explain parameters. It only relates max_len to truncation but does not explain log_id (e.g., what a valid log_id is, where to obtain it). Limited parameter guidance.

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 states it produces a textual description of log-level features including activity set, concurrency, and timing. This clearly indicates the tool's purpose and resource, but it does not explicitly differentiate from siblings like abstract_log_attributes or abstract_variants.

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 provided on when to use this tool versus alternatives such as abstract_log_attributes or abstract_variants. The description lacks context for selection.

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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