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Update World Model Test Case

lyzr_world_model_update_test_case
Idempotent

Update an existing test case in a world model by modifying its name, user input, expected output, and optionally linking a persona or scenario.

Instructions

Update a test case on a world model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesTest case name
persona_idNoPersona id to associate with this test case
user_inputYesThe simulated user input
scenario_idNoScenario id to associate with this test case
test_case_idYesThe test case id to update
world_model_idYesThe world model id
expected_outputYesThe expected agent output
Behavior2/5

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

Annotations already indicate this is a write operation (readOnlyHint=false) and non-destructive (destructiveHint=false), but the description adds no additional behavioral context. It does not explain whether the update is partial or full replacement, what happens to unspecified fields, or whether the test case must already exist. The description essentially repeats the tool's title without depth.

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, grammatical sentence that conveys the core action without filler. It is concise in length, though it under-specifies, but it is not as minimal as a tautology. It earns points for being efficiently structured.

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?

For a tool with seven parameters and no output schema, the description does not provide enough contextual completeness. It omits critical information such as whether the update requires all fields (required fields suggest a full replacement), whether the test case must already exist, and what the response/return value is. The agent is left to infer too much.

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%, so all seven parameters have individual descriptions, which meets the baseline. The tool description itself adds no parameter-level meaning, but no compensation is needed given the high schema coverage.

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 verb ('Update') and the resource ('a test case on a world model'). It distinguishes this tool from sibling test-case tools (add, list, delete) by its update action, which is explicit in the name and title.

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?

The description gives no guidance on when to use this tool versus alternatives. It does not mention prerequisites like the test case needing to exist, how to obtain the test_case_id, or that this should be used instead of add/delete. No contextual usage cues are provided.

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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