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AceDataCloud

AiChat MCP Server

Official
by AceDataCloud

aichat_create_conversation_v2

Manage AI conversations via AiChat v2: create, chat, retrieve, update, delete, and list conversations with multi-model support.

Instructions

Create/manage conversations via AiChat v2 endpoint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoConversation ID. Required for retrieve/update/delete actions.
asyncNoWhether to process the request asynchronously.
limitNoPagination limit for retrieve_batch.
modelNoModel to use for the request.gpt-4.1
titleNoConversation title.
actionNoOperation to perform: chat (default), retrieve, retrieve_batch, update, or delete.chat
offsetNoPagination offset for retrieve_batch.
presetNoOptional preset model configuration.
messageNoMessage payload as a string or structured content array.
user_idNoFilter or associate by user ID.
messagesNoConversation messages for update/action workflows.
questionNoQuestion text for chat action.
statefulNoWhether to use stateful conversation mode.
max_turnsNoMaximum number of turns for conversation history.
referencesNoOptional list of reference sources.
model_groupNoProvider group filter for retrieve_batch.
callback_urlNoWebhook URL to receive async completion callbacks.
tool_resultsNoTool call results for follow-up turns.
allowed_skillsNoOptional list of skills the agent may use.
application_idNoFilter or associate by application ID.
unattended_policyNoOptional unattended-execution policy configuration.
allowed_mcp_serversNoOptional list of MCP servers the agent may use.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. 'Create/manage' only hints at mutation and does not disclose that the tool can delete conversations, retrieve single or batched conversations, or run chat completions. The description also hides the async/callback behavior and that many parameters only apply to specific actions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, but it is under-specified rather than concise. It conveys almost no actionable information about a complex, polymorphic tool and therefore fails the 'every sentence should earn its place' test.

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

Completeness1/5

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

Given the tool's complexity—22 parameters, 5 distinct actions, no annotations—the description provides virtually no contextual guidance. It does not mention parameter dependencies, operation-specific behavior, or return-value semantics (beyond what the output schema implies), leaving the agent with almost no help in correctly invoking the tool.

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 structured fields already document all 22 parameters. The description adds no further semantic context and, notably, does not highlight the pivotal `action` parameter that determines the tool's behavior, but the baseline for high schema coverage is appropriately 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a resource ('conversations') and a general verb ('Create/manage'), but it fails to communicate that the tool is actually a multi-action dispatcher supporting chat, retrieve, retrieve_batch, update, and delete via the `action` parameter. This vagueness does not sufficiently distinguish it from the sibling `aichat_create_conversation`.

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?

There is no guidance on when to use this tool versus `aichat_create_conversation`, `aichat_list_models`, or `aichat_get_usage_guide`. It also omits critical usage dependencies such as `id` being required for retrieve/update/delete actions, and does not explain that the `action` parameter determines the operation.

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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