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oracle_ask

Ask questions about your project in natural language to obtain answers from cache, code search, or AI summaries.

Instructions

Ask a natural-language question about the project. Routes to cache, grep, or Haiku.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description must disclose behavioral traits. It reveals that the tool routes to different backends (cache, grep, Haiku), providing some transparency. However, it omits details like side effects, permissions, or output format.

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

Conciseness3/5

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

The description is a single short sentence, which is concise but lacks structure. It could be expanded to provide more value without being verbose.

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

Completeness2/5

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

Given the tool has one parameter and no annotations, the description is insufficient. It does not explain what the output schema contains or what 'Haiku' means, leaving the agent without enough context.

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

Parameters2/5

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

Schema description coverage is 0%. The description adds that the question is about the project and natural-language, but provides no further semantic detail about the 'question' parameter, such as valid formats or constraints.

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

Purpose4/5

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

The description clearly states the tool asks a natural-language question about the project. It hints at routing to cache, grep, or Haiku, distinguishing it from sibling tools like oracle_grep or oracle_read, though it does not explicitly name them.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives. The mention of routing to cache, grep, or Haiku implies it is a general question tool, but lacks when-not scenarios or comparisons with sibling tools.

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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