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tm42
by tm42

set_relation_importance

Assign a numeric importance weight (0.0 to 1.0) to a relation in a knowledge graph, controlling its priority for context retrieval and semantic search.

Instructions

Set explicit importance weight for a relation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
importanceYesImportance from 0.0 (unimportant) to 1.0 (critical)
relation_idYesRelation ID (full or prefix)
Behavior2/5

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

No annotations are provided, so the description bears full responsibility. It does not disclose any behavioral traits such as idempotency, permissions required, side effects on existing relations, or whether the importance weight persists across sessions.

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 a single, correct sentence with no extraneous words. It is appropriately concise, though it could potentially include additional context without becoming verbose.

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 the low complexity (2 required parameters, no output schema, no nested objects), the description is complete enough. It tells what the tool does and the schema covers parameter details. No critical gaps are apparent.

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 coverage is 100% and both parameters have clear descriptions in the input schema. The tool description adds no additional meaning beyond what the schema already provides, so baseline 3 is appropriate.

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 'Set explicit importance weight for a relation' clearly states the action (set) and the resource (importance weight for a relation). It distinguishes from sibling tools like 'suggest_relations' which imply inference rather than explicit setting.

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 on when to use this tool versus alternatives. There is no mention of prerequisites, when settings are appropriate, or why one would choose explicit setting over other relation-modifying tools like 'create_relations' or 'suggest_relations'.

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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