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danielsimonjr

Enhanced Knowledge Graph Memory Server

find_jaccard_duplicate_observations

Identifies and groups near-duplicate observation strings across entities using token-Jaccard similarity, improving recall beyond exact matching.

Instructions

v2.1.0 — Find near-duplicate observation strings across distinct entities via token-Jaccard similarity with union-find grouping. More expensive than the exact tier (O(o²)); opt-in for higher recall.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxGroupsNo
projectIdNo
sessionIdNo
entityTypeNo
minOccurrencesNo
Behavior3/5

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

Without annotations, the description carries the full burden. It discloses the algorithm and complexity (O(o²)), implying it is read-only from 'find'. But it doesn't explicitly state side effects, output format, or data requirements.

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?

The description is a single sentence with version, verb, resource, method, and trade-off. No wasted words.

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

Completeness2/5

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

Given the tool has 5 parameters, no output schema, and no annotations, the description is too minimal. It omits parameter details, expected output, and when to opt for this over the exact tier.

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

Parameters1/5

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

Schema description coverage is 0% and the description does not mention any parameter names or meanings. The agent gets no help with the five optional parameters.

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 clearly states it finds near-duplicate observation strings using token-Jaccard similarity and union-find grouping. It mentions an 'exact tier' implying a sibling, but does not explicitly name it, so purpose is very clear but not perfect.

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 says it's 'more expensive than the exact tier' and 'opt-in for higher recall', giving clear conditions for use. However, it doesn't specify exact alternatives or when not to use.

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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