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marrow_commit

Submit the final success or failure, outcome, and proof for a completed action, closing the loop for accountable fleet learning.

Instructions

Close a recorded action with success/failure, a specific outcome, and required proof. Use the decision_id from marrow_think and the gate receipt from marrow_agent_runtime for consequential work. Outcome closure is required for accountable fleet learning.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoOptional original action type for auto gate lookup, e.g. deploy, publish, merge, handoff, implementation.
proofNoOptional required proof pack for gated work: summary, checks, outcome, blockers, commits_prs_shas, rollback_target, handoff_result_file, deployment_and_smoke.
actionNoOptional original action. If provided and gate_receipt_id is omitted, MCP can fetch a matching runtime gate receipt before commit.
outcomeYesWhat happened — be specific, this trains the hive
successYesDid the action succeed?
surfacesNoOptional surfaces for auto gate receipt, e.g. github, cloudflare, npm, production.
auto_gateNoIf true/default and action is provided, call marrow_agent_runtime to obtain gate_receipt_id before commit.
caused_byNoOptional: what caused this action
decision_idYesdecision_id from the marrow_think call
model_usageNoOptional compact token/cost/latency counts. Do not include raw prompts or completions.
gate_receipt_idNoReceipt id from marrow_agent_runtime.gate_receipt.id for risky work.
arbitration_receipt_idNoRequired for arbitrated work: use marrow_arbitrate.arbitration.receipt_id from the same runtime response.
owner_approval_receipt_idNoSingle-use owner approval receipt issued by authenticated dashboard review for review_required arbitration.
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions required proof and consequential work, but does not disclose side effects (e.g., auto-calling marrow_agent_runtime via auto_gate), persistence, or validation behavior. The description adds some context but leaves significant behavioral aspects unexplained.

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 three sentences, each earning its place: purpose, cross-tool inputs, and rationale. It's front-loaded with the verb and resource, and contains no filler or repetition of schema content.

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?

Given the tool's complexity (13 parameters, nested objects, no output schema), the description is relatively thin. It doesn't explain the overall closure workflow, what happens after commit, or how proof is validated. The schema covers parameter details, but the description alone would not fully guide an agent on the complete commit process.

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 description coverage is 100%, so the baseline is 3. The description references 'success/failure, outcome, and proof' which maps to the required parameters, but adds no additional meaning beyond the schema's own parameter descriptions. It does not clarify parameter relationships or formats beyond what's already in the schema.

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 uses a specific verb ('Close') with a clear resource ('a recorded action') and outlines the core purpose: recording success/failure, outcome, and proof. This clearly distinguishes it from siblings like marrow_think (initiating) or marrow_agent_runtime (executing).

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 gives direct guidance on what to supply ('Use the decision_id from marrow_think and the gate receipt from marrow_agent_runtime for consequential work') and explains why closure is needed ('accountable fleet learning'). It doesn't explicitly state when NOT to use it, but the context is clear enough for a commit/closure tool.

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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