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ask-gemini

Analyze files and code by sending prompts to Gemini, using @ syntax to include files. Supports safe sandbox and structured change modes.

Instructions

model selection [-m], sandbox [-s], and changeMode:boolean for providing edits

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesAnalysis request. Use @ syntax to include files (e.g., '@largefile.js explain what this does') or ask general questions
modelNoOptional model to use (e.g., 'gemini-2.5-flash'). If not specified, uses the default model (gemini-2.5-pro).
sandboxNoUse sandbox mode (-s flag) to safely test code changes, execute scripts, or run potentially risky operations in an isolated environment
changeModeNoEnable structured change mode - formats prompts to prevent tool errors and returns structured edit suggestions that Claude can apply directly
chunkIndexNoWhich chunk to return (1-based)
chunkCacheKeyNoOptional cache key for continuation
Behavior2/5

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

No annotations provided, so description must bear full burden. It mentions sandbox for safe testing but does not disclose whether edits are applied or if the tool is read-only. Behavioral traits like side effects or permissions are omitted.

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 very short and somewhat cryptic with flags. It is concise but not well-structured or informative enough.

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?

With 6 parameters, no output schema, and no annotations, the description is too brief. It fails to explain core functionality, return values, or usage patterns, leaving significant gaps.

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?

The input schema has 100% description coverage, so the baseline is 3. The description adds minimal value beyond mentioning flags, as the schema already explains parameters adequately.

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

Purpose3/5

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

The description mentions options like model selection, sandbox, and changeMode, but does not clearly state the core action of the tool (asking Gemini). It is vague and fails to distinguish it from siblings like brainstorm or Help.

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 guidance on when to use this tool versus alternatives. The description lacks context about appropriate scenarios or exclusions.

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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