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S0ra-ai
by S0ra-ai

ask_opencode

Send a task or question to OpenCode within a project context for code writing, editing, or execution.

Instructions

Send an arbitrary prompt to OpenCode in a project context. General-purpose delegation tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoOverride model for this call
promptYesThe task or question for OpenCode
projectNoProject name
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description lacks disclosure of side effects, return values, or safety implications of sending a prompt (e.g., code execution or file modification).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two efficient sentences with no wasted words, front-loading the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, 3 parameters, and no annotations, the description is minimal. It explains input but not output or limitations, which is marginal for a general-purpose delegation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds some context ('project context', 'delegation') but does not provide significant new parameter semantics beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it sends an arbitrary prompt to OpenCode in a project context, distinguishing it from more specific sibling tools like edit_code or execute_plan.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description calls it a 'general-purpose delegation tool' but does not explicitly state when not to use it or suggest alternatives, leaving the agent to infer usage context.

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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