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saidsef

GitHub PR Issue Analyser

by saidsef

choose

Presents a set of options for the user to choose from. Displays clickable buttons for each option, allowing the user to make a decision without typing.

Instructions

Present the user with a set of options to choose from.

Call this tool when you need the user to make a decision between discrete alternatives. Use it proactively — don't ask the user to type their choice in chat when you can present clean, clickable options instead.

The user will see a card with one button per option. When they click one, their choice appears as a message in the conversation (as if the user typed it), like:

"Which deployment strategy?" — I selected: Blue-green

IMPORTANT: After calling this tool, you MUST stop and wait for the user's response. Do not continue or take any other actions until you see the "I selected:" message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesThe question or decision to present to the user.
optionsYesList of options the user can choose from.
titleNoOptional heading for the card.
Behavior5/5

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

With no annotations provided, the description fully discloses the tool's behavior: it presents a card with buttons, the user's choice appears as a message, and the agent must stop and wait. This covers the interaction flow comprehensively.

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 concise and well-structured. It front-loads the purpose, then explains usage in a clear sequence, includes an example, and ends with an important behavioral note. Every sentence serves a purpose.

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

Completeness5/5

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

Given the tool's simplicity, the description is fully complete. It explains the interaction, expected user action, and the agent's required behavior. No output schema is needed as the return is implicit via the user's message.

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 the baseline is 3. The description adds minimal extra meaning beyond the schema, as it repeats that 'prompt' is the question and 'options' are the choices. No additional semantics are introduced.

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's purpose: presenting the user with a set of options to choose from. It uses a specific verb ('present') and resource ('options'), and is distinct from sibling tools which are GitHub and network operations.

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

Usage Guidelines5/5

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

The description explicitly specifies when to use the tool: when the user needs to make a decision between discrete alternatives. It advises proactive use and emphasizes the need to stop and wait after calling, providing clear 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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