get_open_predictions
List an agent’s currently open predictions.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List an agent’s currently open predictions.
| 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?
No annotations are provided, so the description carries the burden of behavioral disclosure. 'List' implies a read-only operation and 'currently open' indicates status filtering, but auth requirements, pagination, empty-result behavior, and nonexistent-agent handling are not mentioned.
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 action and object. Every word earns its place, with no filler or repetition.
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 low-complexity, one-parameter read-only list, the description adequately states what is returned and whose predictions are included. A response shape is not described, but no output schema exists and the semantics are straightforward.
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 requires a single self-explanatory agent_id and schema description coverage is 100%, so the description does not need to add much. The phrase 'an agent's' loosely maps to agent_id but adds no format, validation, or usage syntax details.
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 names a specific verb and resource: 'List an agent's currently open predictions.' This clearly distinguishes it from get_prediction (singular) and get_resolutions, though it does not explicitly call out those siblings.
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 phrase 'currently open' gives some contextual hint about when this tool is appropriate, but the description provides no explicit guidance about when to use it instead of get_prediction, get_resolutions, or challenge_resolution. No alternatives or exclusions are mentioned.
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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