list_simulation_personas
List simulation personas in the authenticated workspace.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List simulation personas in the authenticated workspace.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered structurally. The description contributes only the workspace scoping detail; it says nothing about pagination, ordering, or whether the list is complete or truncated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence with no filler, and the scope constraint ('authenticated workspace') is front-loaded rather than buried. Nothing could be removed without losing information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With zero parameters, no output schema, and annotations fully covering the read-only/idempotent profile, little else is required of the description. The only untold behavior an agent might want — pagination or result limits — is minor given the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is no parameter semantics to explain and the description cannot be faulted for omitting any. Baseline 4 applies here.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('List') and resource ('simulation personas') scoped to the authenticated workspace, which lets an agent distinguish it from get_simulation_persona (single fetch) and list_simulations / list_simulation_scenarios (different resources). It stops short of explicitly naming those siblings, so differentiation relies on the agent reading the names.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied by the verb 'List' and the workspace scope; there is no explicit 'use this when...' or exclusion of alternatives such as get_simulation_persona for a single persona. For a zero-parameter enumeration tool the implied usage is reasonably unambiguous, but no guidance is actually written.
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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