List AI tasks
list_tasksYour AI tasks, newest first, with status and item counts.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_tasksYour AI tasks, newest first, with status and item counts.
| 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, so the safety profile is covered. The description adds genuinely useful behavior for a read tool with no output schema: the sort order and the fact that each entry carries status and item counts. It says nothing about volume, pagination, or whether completed/closed tasks are included.
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 that front-loads the resource and then stacks ordering and payload information with zero filler. Nothing could be cut without losing signal.
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?
For a zero-argument, read-only list operation with no output schema, the description covers the essentials: what is returned, in what order, and with what fields. Only the absence of any scope/limit information (pagination, whether closed tasks appear) holds it back.
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 nothing to disambiguate and the schema is trivially complete; the baseline for a parameterless tool applies. No param details are needed or expected.
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) plus resource (AI tasks) and adds the ordering ('newest first') and the fields returned, so an agent knows exactly what this call produces. It does not explicitly differentiate itself from the plural/singular sibling get_task, which keeps it from a 5.
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?
No guidance on when to use this versus get_task, get_results, or list_pools, and no exclusions or prerequisites are stated. The scope word 'Your' faintly implies per-user scope, but that is inference rather than instruction.
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.