get_task
Get today's task: one small question with a checkable answer.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get today's task: one small question with a checkable answer.
| 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, idempotentHint and openWorldHint=false, so the safety profile is covered. The description adds that the returned item is a single small question with a checkable answer, which hints at result shape, but says nothing about whether the task changes over time or how it is scoped to 'today.'
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 front-loaded sentence with no filler. The resource and the payload shape are stated immediately with zero redundant text.
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-parameter read-only tool with no output schema and annotations covering safety, the description supplies what an agent needs: what it fetches and roughly what it returns. Only the daily-scoping behavior of 'today's task' is left implicit.
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 for the description to disambiguate; the baseline for a parameterless tool applies and no misleading parameter information is given.
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 (get) and resource (today's task) and characterizes the payload as 'one small question with a checkable answer.' This makes the read half of the workflow obvious against submit_answer, though it never names the siblings explicitly.
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: an agent can infer it should call this first and then use submit_answer, but the description offers no explicit when-to-use or when-not-to-use statement and no prerequisites.
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.