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fuzzy_match_records

Compare two lists of records and return ranked matches to reconcile duplicates and inconsistencies across CRM, ERP, and ITSM systems, preventing wrong or duplicate records.

Instructions

Compare two lists of records and return ranked matches. Ideal for reconciling Salesforce accounts vs SAP customers or ServiceNow CIs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
thresholdNo
source_recordsYes
target_recordsYes
Behavior2/5

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

There are no annotations, so the description must fully disclose behavioral traits. It only says the tool compares and returns ranked matches, but does not explain the matching algorithm, how the threshold parameter affects results, whether the operation is read-only, or any side effects. This is a significant gap for a tool handling two lists of records.

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 sentence that gets straight to the point with no filler. It is appropriately concise for a simple tool, though additional details about parameters could be included without harming conciseness.

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 moderate complexity (3 parameters with nested objects) and the lack of output schema or annotations, the description is incomplete. It does not cover return format, threshold semantics, prerequisites, or edge cases. The example is helpful but does not substitute for behavioral or parameter details.

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?

Schema coverage is 0%, so the description must add meaning beyond the raw fields. It references 'two lists of records' which loosely maps to source_records and target_records, and the example implies the 'system' field differs across sources. However, the 'threshold' parameter is completely unexplained, and the structure of the records (id, name, system) is not clarified beyond what the schema already shows.

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 action ('Compare two lists of records and return ranked matches') and specifies the resource ('two lists of records'). It also distinguishes itself from sibling tools by mentioning fuzzy matching and giving a concrete reconciliation example (Salesforce vs SAP, ServiceNow CIs), which implies a matchmaking purpose different from consistency checks or entity registration.

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 provides a clear use case ('Ideal for reconciling Salesforce accounts vs SAP customers or ServiceNow CIs'), which tells the agent when to use the tool. However, it does not explicitly mention when not to use it or suggest alternative tools, so it falls short of full guidance.

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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