Run Bot Task Now
neuron_run_taskTrigger a task to run immediately (in addition to its normal schedule). Returns once the run is queued.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | UUID of the task |
neuron_run_taskTrigger a task to run immediately (in addition to its normal schedule). Returns once the run is queued.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | UUID of the task |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds important behavioral details beyond annotations: it runs 'in addition to its normal schedule' and 'returns once the run is queued', clarifying that the operation is asynchronous and does not wait for completion. This is valuable context that the annotations (readOnlyHint=false, idempotentHint=false) do not provide.
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?
One concise sentence that front-loads the purpose and includes essential behavioral timing information. No wasted words.
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?
The tool is simple with one parameter, no output schema, and annotations. The description covers the core trigger action and the asynchronous return behavior. A minor gap is that it doesn't describe the format or content of the returned value (e.g., run ID or status), but the mention of 'queued' implies an acknowledgement. Overall sufficiently complete for an agent to select and invoke correctly.
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 schema already provides complete coverage for the single 'id' parameter with a clear description ('UUID of the task'). The tool description does not add any parameter-level information, but given 100% schema coverage, the baseline of 3 is appropriate.
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?
The description clearly states the action ('Trigger'), the resource ('a task'), and the key behavior ('run immediately in addition to its normal schedule'). This distinguishes it from task creation, updating, toggling, and retrieval. The title 'Run Bot Task Now' reinforces the purpose.
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?
The description provides clear context: use this to trigger an immediate run outside the normal schedule. It implies this complements rather than replaces scheduling, but does not explicitly name alternative tools like toggle_task or update_task. Thus there is clear context but no explicit exclusions or named alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools are clearly separated by resource type, but there is meaningful overlap in messaging entry points (send_message, send_whatsapp, compose_message, bot_api_send) and contact ingestion/sync tools (import_contacts, populate_contacts, sync_whatsapp_contacts). The descriptions help disambiguate, but with 309 tools an agent will frequently need to read closely to pick the right one.
The overwhelming majority of tools follow a consistent verb_noun snake_case pattern: create_*, get_*, list_*, update_*, delete_*. Minor deviations like sales_stats, lead_stats, wallet_balance, and whoami break the pattern slightly, but overall naming is highly predictable.
309 tools is an extreme count for any MCP server, even a broad platform. This creates significant cognitive load and navigation overhead for agents, and far exceeds the well-scoped 3-15 tool range where coherence is strongest.
The tool surface is remarkably comprehensive across bots, contacts, campaigns, flows, knowledge bases, personas, marketplace, wallet, and products. Minor gaps exist — lead sources lack update/delete tools, and there is no single get_task or get_webhook alongside their list/update/delete counterparts — but these are workable gaps rather than dead ends.