daily_challenges
Read today's UTC shared finite-puzzle challenges and one-attempt rules. Public replays make this open practice, not a closed-book contest.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read today's UTC shared finite-puzzle challenges and one-attempt rules. Public replays make this open practice, not a closed-book contest.
| 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 readOnly, idempotent, closed-world and non-destructive, so the safety profile is covered. Beyond that, the description adds genuinely useful context: the challenges are UTC-scoped, shared, finite, governed by one-attempt rules, and effectively open practice because replays are public. That is real behavioral disclosure not present in the structured fields.
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?
Two tight sentences with the core retrieval object front-loaded and the interpretive note second. No filler, no restating of the title or annotations.
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 no-argument read tool with full annotation coverage and no output schema, the description supplies enough to know what is returned conceptually (today's challenges and their attempt rules). A brief note on freshness or return shape would push it higher, but nothing essential is missing.
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 by the stated baseline this dimension scores 4. There is no argument surface for the description to illuminate, and it does not mislead about inputs.
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 (read) and resource (today's UTC shared finite-puzzle challenges plus one-attempt rules), so an agent knows exactly what it retrieves. It does not name or differentiate itself from near-neighbors such as play_challenges or public_replays, so it stops short of 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?
Usage is only implied: the phrase 'one-attempt rules' and 'open practice, not a closed-book contest' suggest this is consulted before or during a practice attempt. There is no explicit statement of when to call this instead of play_challenges, play_state, or public_replays, leaving routing to inference.
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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