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Dispatch Mushi fix agent

dispatch_fix

Dispatches a fix orchestrator for a bug report, opens a signed draft pull request, and returns a fix attempt ID to poll for progress.

Instructions

Dispatch the Mushi agentic fix orchestrator for a classified report. Set agent="cursor_cloud" to dispatch a Cursor Cloud Agent that opens a signed draft PR. Returns a fix_attempt id; poll get_fix_timeline for progress.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reportIdYesReport UUID to fix
agentNoOverride the agent adapter
idempotencyKeyNoOptional RFC 4122 UUID. Resend the same key to safely retry without dispatching a duplicate fix job (Idempotency-Key IETF draft).
inventoryActionNodeIdNoOptional inventory Action node UUID for spec-traceability (ยง2.10). When provided, the fix-worker embeds the expected_outcome contract in the LLM prompt and runs validateAgainstSpec before opening the PR.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
fixIdYes
statusYes
Behavior3/5

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

Annotations (readOnlyHint=false, destructiveHint=false) indicate this is a write operation but not destructive. The description adds the behavior of returning a 'fix_attempt id' and the polling procedure, which is useful beyond annotations. However, it does not clarify what side effects occur (e.g., PR creation) or whether the tool is safe to retry without idempotency key.

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 two sentences, front-loading the core purpose. The second sentence adds a concrete example and guidance. It could be slightly more concise by avoiding the redundant 'Set agent="cursor_cloud"' if that value isn't valid, but overall it is efficient.

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

Completeness3/5

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

The tool has 4 parameters, 1 required, with full schema coverage and a known output schema. The description mentions the return value and polling step, meeting baseline needs. However, it fails to cover the contradiction in the agent parameter value or explain when to use optional parameters like 'inventoryActionNodeId', leaving gaps for a complete understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all 4 parameters. The description mentions setting 'agent="cursor_cloud"', but this value is not in the schema enum ('claude_code', 'codex', 'rest_worker', 'mcp'), creating a contradiction that misleads the agent. The description does not explain the other parameters (idempotencyKey, inventoryActionNodeId) beyond what the schema provides.

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 'Dispatch the Mushi agentic fix orchestrator for a classified report' with a specific verb ('Dispatch') and resource ('fix orchestrator'). It distinguishes from sibling tools like 'fix_suggest' by focusing on dispatching an agent, and mentions a concrete example with 'agent="cursor_cloud"'.

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 provides an explicit use case ('Set agent="cursor_cloud" to dispatch a Cursor Cloud Agent that opens a signed draft PR') and instructs to poll 'get_fix_timeline' for progress. However, it does not explicitly state when to use this tool versus alternatives like 'fix_suggest' or 'merge_fix', offering no 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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