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request_action_confirmation

Request confirmation before applying research-based changes to your codebase. Clearly specify the action, impact level, and details to ensure informed decision-making.

Instructions

Request confirmation before applying research-based changes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesDescription of the action to be performed
impactNoImpact level of the actionmedium
detailsYesDetailed information about the action
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only says 'request confirmation' without explaining how confirmation is obtained, what happens on confirmation or rejection, or whether it blocks execution. This is minimal disclosure.

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 a single concise sentence that is front-loaded and contains no extraneous information. Every word is necessary.

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 lack of annotations and output schema, the description should provide more context about the tool's behavior, such as whether it awaits user input, what the response will be, and how it integrates with the workflow. The current description is too brief.

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 coverage is 100%, so baseline is 3. The tool description adds no additional meaning beyond the parameter descriptions in the schema. The schema already describes 'action' and 'details' sufficiently.

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 the tool requests confirmation before applying research-based changes, which is a specific verb+resource combination. It distinguishes itself from siblings like 'apply_basic_content_masking' and 'incorporate_research' by highlighting the confirmation step.

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 is provided on when to use this tool versus alternatives. There is no mention of prerequisites, when-not-to-use, or reference to 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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