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sumo_qa_finding_test_data

Finds known-good test data and existing records for testing. Provides data to validate entries or register new test inputs.

Instructions

Use when the user asks about test data — what data to test X, find a known-good record, validate an entry, register new known-good data. Routes between sumo_qa_explain_test_data_requirements, sumo_qa_find_test_data, sumo_qa_validate_test_data, and sumo_qa_register_known_good_test_data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states that it routes between tools but does not disclose how routing works, what happens after routing, or any behavioral traits like authentication needs or result format.

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?

Two sentences, no wasted words. Front-loads use cases and provides key routing information efficiently.

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 no output schema and zero parameters, the description lacks explanation of what the tool returns or how the routing is presented. An agent needs to know the output format to use the result.

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?

There are zero parameters; baseline is 4. The description does not need to add parameter meaning since there are none.

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 it is a router for test data queries, listing specific scenarios and naming the four sub-tools it routes between. This distinguishes it from sibling tools that are direct executors.

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?

It explicitly says 'Use when the user asks about test data' and lists example queries, providing clear context. However, it does not mention when not to use it or alternative tools for non-test-data queries.

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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