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GHeeJeon
by GHeeJeon

run_workflow

Generate code, run tests with up to 3 retries on failure, commit, push, and open a pull request automatically from a natural language task description.

Instructions

Fully automated workflow: AI generates code, runs tests (retrying up to 3 times on failure), commits, pushes, and opens a PR. Requires ANTHROPIC_API_KEY.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesNatural language description of the feature or fix to implement
branch_nameNoBranch name (default: auto-generated from task)
Behavior4/5

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

With no annotations, the description provides good transparency: it describes the workflow steps, retry behavior (up to 3 times), and the need for ANTHROPIC_API_KEY. It does not detail failure modes beyond retries.

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?

Description is a single sentence that packs all essential information without redundancy. It is front-loaded with 'Fully automated workflow' and efficiently lists steps.

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 the tool has only 2 parameters, no output schema, and no nested objects, the description covers the workflow and requirements adequately. It could mention return value or side effects but is still fairly complete.

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% and both parameters are described in the schema. The description does not add additional parameter details, so baseline score of 3 is appropriate.

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?

Description clearly states the tool runs a fully automated workflow including code generation, testing, committing, pushing, and PR creation. It distinguishes from sibling tools which are individual steps.

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

Usage Guidelines3/5

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

Description implies use for automation but does not explicitly state when to use this tool versus individual sibling tools like commit_and_push or run_tests. It mentions the required API key as a prerequisite.

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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