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Graph Merge Suggestions

graph_merge_suggestions
Read-onlyIdempotent

Identifies potential duplicate entity pairs using embedding similarity, neighbor overlap, and name similarity. Aids triage before merging or creating alias relationships.

Instructions

Surface candidate pairs of entities likely to be duplicates. Read-only — never auto-merges. Combines embedding similarity, shared-neighbor overlap, and name-token Jaccard. Same-type only. Use to triage entity-explosion before running graph_merge (destructive consolidation) or graph_relate with ALIAS_OF (soft alias).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idNoScope to one entity's potential duplicates
entity_typeNoScope to one entity type (Person, Project, etc.)
min_scoreNoCombined-score threshold to surface (default 0.8)
min_embedding_similarityNoEmbedding-similarity floor for candidates (default 0.85)
limitNoMax suggestions to return (default 20, max 100)
weightsNoOverride default weights (0.4 / 0.4 / 0.2)
log_to_auditNoEmit merge_flagged audit events for surfaced pairs (default true)
Behavior4/5

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

Annotations already confirm read-only and idempotent; description adds context that it never auto-merges and combines specific methods, providing behavioral depth beyond annotations.

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?

Three concise sentences that front-load purpose, then constraints, then usage context. No superfluous information.

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?

Lacks explicit output format (e.g., returns list of pairs with scores), but purpose and behavior are clear enough for a suggestion tool. Given no output schema, a minor gap exists.

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 schema descriptions are adequate. Description adds contextual understanding (signals, same-type only) but does not elaborate on individual parameters beyond schema.

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?

Clearly states the tool surfaces candidate duplicate pairs, specifies three combination signals (embedding similarity, shared-neighbor overlap, name-token Jaccard), and distinguishes itself from siblings by being read-only and same-type only.

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

Usage Guidelines5/5

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

Explicitly states when to use: to triage entity-explosion before destructive merger (graph_merge) or soft alias (graph_relate with ALIAS_OF). Also clearly marks read-only behavior.

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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