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create_persona

Define a custom test persona with goals, tech literacy, patience, device, and accessibility needs to drive realistic UX testing sessions.

Instructions

Create a custom persona for testing. Define their name, goals, tech literacy, patience, device preference, and accessibility needs. Returns the persona definition to use with start_session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesPersona name (e.g., 'Maria')
goalsYesWhat they want to accomplish
deviceNoPreferred device
patienceNoPatience level (default: moderate)
age_groupNoAge group
backgroundNoBackground story
descriptionYesOne-line description (e.g., 'Senior citizen shopping for first smartphone')
tech_literacyNoTech literacy level (default: intermediate)
behavior_notesNoSpecial behavioral notes
accessibility_needsNoAccessibility needs
Behavior3/5

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

With no annotations, the description carries the burden of disclosure. It states that it creates a persona and returns the definition, but it does not reveal whether the persona is persisted, if it overwrites existing personas, or any side effects. Given the existence of list_personas, persistence is implied but not stated.

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 two sentences, front-loaded with the tool's purpose, and includes the essential return value. Every word earns its place; no redundancies or fluff.

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

Completeness3/5

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

Given the tool has 10 parameters, no output schema, and no annotations, the description provides basic purpose and return value but lacks details about side effects, persistence, or workflow context beyond mentioning start_session. It is adequate but not rich enough for full contextual completeness.

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 description coverage is 100%, so the baseline is 3. The description mentions some key parameters (name, goals, tech literacy, patience, device, accessibility needs) but does not add additional semantic meaning beyond the schema. It omits some parameters like description, background, and behavior_notes, so it doesn't fully compensate.

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 tool's function: 'Create a custom persona for testing.' It specifies the resources (persona) and distinguishes itself from siblings like list_personas and start_session by noting the return value is 'to use with start_session.' The verb 'create' is specific and unambiguous.

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 clear context on when to use the tool (to create a persona for testing) and indicates its role in the workflow by returning a definition for start_session. However, it does not explicitly mention alternatives or when not to use it, so it lacks exclusions.

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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