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SymKit

by LBurny
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Python
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check_assumption_conflicts

Detects symbol conflicts across all assumption levels, flagging contradictory properties like positive and negative. Returns a conflict report.

Instructions

    ⚠️ Detect conflicts across all assumption levels.

    A conflict occurs when a symbol is assigned contradictory properties
    (e.g., both positive and negative).

    Returns:
        Conflict report

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Tool Definition Quality

A4/5.0
Behavior3/5

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

No annotations provided; description indicates read-only query behavior but does not explicitly state it is non-destructive or discuss side effects, though output suggests a report.

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?

Extremely concise: three short sentences with a helpful emoji, no redundancy.

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

Completeness4/5

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

Given no parameters and an output schema, the description is adequate for a simple detection tool, but could mention the report format or schema reference.

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

Parameters4/5

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

No parameters exist, and schema coverage is 100%; baseline for zero parameters is 4, and description adds no parameter info since none are needed.

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 detects conflicts across assumption levels, defines conflict with an example, and distinguishes from siblings like check_symbol_conflicts by targeting all levels.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like check_symbol_conflicts, missing usage context.

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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