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hire_floyd

Automates coding tasks: analyzes a GitHub repo, writes code, runs tests, and opens a pull request. Provide a task description and optional repo URL to receive a pull request URL.

Instructions

Hire Floyd, LoneStarOracle's autonomous coding agent. Analyzes a GitHub repo, writes code, runs tests, and opens a pull request. Pass a task description and optional repo URL. Returns pr_url when complete. Best for well-scoped coding tasks: bug fixes, feature additions, test coverage, refactors. Floyd also hunts GitHub bounties, does web research, and can handle complex multi-step tasks with context. Cost: $0.50 via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYes
repoNo
contextNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses the process (analyze, write, test, open PR), return value (pr_url), cost ($0.50 via x402), and extra capabilities (web research, complex tasks). This is strong transparency, though it could mention time estimates or failure modes.

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

Conciseness4/5

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

The description is 4 sentences with a clear front-loaded purpose. It efficiently covers purpose, usage, outcome, and cost. Slightly less concise due to extra examples of use cases, but still well-structured.

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

Completeness4/5

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

Given that an output schema exists, the description adequately covers return value (pr_url). It explains inputs (task, repo), process, and cost. Missing details like error handling or expected duration, but overall complete for a coding agent 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 has 3 parameters with 0% coverage, so description adds value. It explains 'task' and 'repo' (optional), but does not describe the 'context' parameter. This leaves a gap in understanding all inputs.

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 verb 'Hire' and the resource 'Floyd, LoneStarOracle's autonomous coding agent' and details the actions: analyzes repo, writes code, runs tests, opens PR. This distinguishes it from sibling tools which are primarily data/analytics tools.

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

Usage Guidelines4/5

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

The description specifies it is 'Best for well-scoped coding tasks: bug fixes, feature additions, test coverage, refactors' and mentions additional abilities like hunting bounties and web research. It gives clear context but does not explicitly state when not to use it or list alternative 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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