Class: SelfEvaluateTool
Defined in: packages/agentos/src/emergent/SelfEvaluateTool.ts:160
ITool implementation enabling agents to evaluate their own responses, adjust runtime parameters, and generate performance reports.
Example
const tool = new SelfEvaluateTool({
config: {
autoAdjust: false,
adjustableParams: ['temperature', 'verbosity'],
maxEvaluationsPerSession: 20,
},
});
const result = await tool.execute({
action: 'evaluate',
response: 'The capital of France is Paris.',
query: 'What is the capital of France?',
}, context);
Implements
ITool<SelfEvaluateInput>
Constructors
Constructor
new SelfEvaluateTool(
deps):SelfEvaluateTool
Defined in: packages/agentos/src/emergent/SelfEvaluateTool.ts:235
Create a new SelfEvaluateTool.
Parameters
deps
SelfEvaluateDeps
Injected dependencies including config, optional adaptPersonality tool, and optional memory store callback.
Returns
SelfEvaluateTool
Properties
category
readonlycategory:"emergent"='emergent'
Defined in: packages/agentos/src/emergent/SelfEvaluateTool.ts:177
Optional
Optional. A category or group to which this tool belongs (e.g., "data_analysis", "communication", "file_system", "image_generation"). This is useful for organizing tools, for filtering in UIs or registries, and potentially for aiding an LLM in selecting from a large set of tools.
Implementation of
description
readonlydescription:string
Defined in: packages/agentos/src/emergent/SelfEvaluateTool.ts:171
A detailed, natural language description of what the tool does, its primary purpose, typical use cases, and any important considerations or limitations for its use. This description is critical for an LLM to understand the tool's capabilities and make informed decisions about when and how to invoke it. It should be comprehensive enough for the LLM to grasp the tool's semantics.
Implementation of
displayName
readonlydisplayName:"Self Evaluate"='Self Evaluate'
Defined in: packages/agentos/src/emergent/SelfEvaluateTool.ts:168
A concise, human-readable title or display name for the tool. Used in user interfaces, logs, or when presenting tool options to developers or users.
Example
"Web Search Engine", "Advanced Python Code Interpreter"
Implementation of
hasSideEffects
readonlyhasSideEffects:false=false
Defined in: packages/agentos/src/emergent/SelfEvaluateTool.ts:180
Optional
Optional. Indicates if the tool might have side effects on external systems
(e.g., writing to a database, sending an email, making a purchase, modifying a file).
Defaults to false if not specified. LLMs or orchestrators might handle tools with side effects
with greater caution, potentially requiring explicit user confirmation.
Implementation of
id
readonlyid:"com.framers.emergent.self-evaluate"='com.framers.emergent.self-evaluate'
Defined in: packages/agentos/src/emergent/SelfEvaluateTool.ts:162
A globally unique identifier for this specific tool (e.g., "web-search-engine-v1.2", "stock-price-fetcher").
This ID is used for internal registration, management, and precise identification.
It's recommended to use a namespaced, versioned format (e.g., vendor-toolname-version).
Implementation of
inputSchema
readonlyinputSchema:JSONSchemaObject
Defined in: packages/agentos/src/emergent/SelfEvaluateTool.ts:183
The JSON schema defining the structure, types, and constraints of the input arguments object that this tool expects. This schema is used by:
- LLMs: To construct valid argument objects when requesting a tool call.
ToolExecutor: For validating the arguments before invoking the tool'sexecutemethod. It should follow the JSON Schema specification.
See
Implementation of
name
readonlyname:"self_evaluate"='self_evaluate'
Defined in: packages/agentos/src/emergent/SelfEvaluateTool.ts:165
The functional name of the tool, as it should be presented to and used by an LLM in a tool call request (e.g., "searchWeb", "executePythonCode", "getWeatherForecast"). This name must be unique among the set of tools made available to a given GMI/LLM at any time. It should be concise, descriptive, and typically in camelCase or snake_case.
Implementation of
Methods
execute()
execute(
args,context):Promise<ToolExecutionResult<any>>
Defined in: packages/agentos/src/emergent/SelfEvaluateTool.ts:250
Execute the requested self-evaluation action.
Parameters
args
SelfEvaluateInput
Action type and associated parameters.
context
Tool execution context.
Returns
Promise<ToolExecutionResult<any>>
A ToolExecutionResult wrapping the action outcome.