request_ballot_challengeIssue one bounded challenge handle for a known pack, mode, and target. This does not enumerate challenges.
| Name | Required | Description | Default |
|---|---|---|---|
| mode | Yes | ||
| packId | Yes | ||
| target | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already set readOnlyHint=false and destructiveHint=false, so the mutating but non-destructive nature is implied. The description adds some behavioral context by calling the result 'bounded' and clarifying that it does not enumerate challenges, but it does not explain side effects, handle lifetime, or repeat-call behavior. This is acceptable but not rich.
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?
The description is two short sentences with no filler. It front-loads the core action and then adds the key exclusion clause, making every word earn its place.
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 tool with three required parameters including two enums and a 0% schema coverage description, the description fails to explain how to choose valid mode/target values or what makes a handle 'bounded.' The output schema covers return values, but the missing parameter semantics and usage context leave the description incomplete for correct invocation.
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?
Schema description coverage is 0%, so the description carries the burden for explaining parameters, but it only restates their names ('pack, mode, and target') without defining packId format or the meaning of mode and target enum values. The phrase 'known pack, mode, and target' adds minimal semantic value beyond what the schema property names already convey.
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 uses a specific verb ('Issue') and a concrete resource ('one bounded challenge handle') scoped by pack, mode, and target. It also explicitly distinguishes itself from enumeration by stating 'This does not enumerate challenges.' This is enough for an agent to understand what the tool produces and how it differs from sibling tools.
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 implies the tool should be used when a single challenge handle is needed for known inputs, and the 'does not enumerate' clause tells the agent this is not the tool for listing challenges. However, it does not name alternative sibling tools or provide explicit when-to-use/when-not-to-use conditions, so usage guidance is left largely to inference.
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.
Each tool targets a distinct resource or flow, and the descriptions include strong qualifiers like 'exact opaque code' or 'issued challenge and nonce'. However, cast_ballot, submit_friendship_prediction, and submit_personality_perception all represent submission actions and could be misselected if the agent does not carefully match the exact challenge type.
Tool names follow a consistent verb_noun snake_case pattern throughout, dominated by get_ for retrieval and submit_ for submissions, with unique verbs like cast_, create_, request_, and score_ standing out clearly. There are no mixed casing styles or unpredictable naming conventions.
14 tools is well within the ideal range and each tool appears to serve a distinct purpose across five clear subdomains: daily ballots, friendship challenges, personality perception, scoring, and aggregate results. The count feels intentionally scoped rather than bloated or thin.
Core lifecycle paths are present for ballots, friendship predictions, personality perception, and result retrieval. Minor gaps exist around explicit creation of private challenges and any update or cancel operations, but those appear intentionally constrained by the server's privacy and immutability model.