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rm_gates_run

Run and inspect fast or heavy pre-commit gates across repositories to catch code issues before commit or push.

Instructions

Run (rm_gates). Run and inspect the two-tier (fast/heavy) pre-commit gate across repos.

The single tool that can actually drive both tiers of the two-tier gate model: stage="fast" exercises a repo's pre-commit-stage hooks, stage="heavy" exercises its pre-push-stage hooks (pytest, cargo, uv lock --check, ...) via pre-commit run --hook-stage <stage>.

Input Schema

NameRequiredDescriptionDefault
repoNoTarget one repo's latest gate job for 'status'/'explain'/'profile' (alternative to job_id).
fleetNoFor 'audit_fail_fast': scan every repository in the workspace rather than the ones named by 'repos'.
reposNoComma-separated repo names or absolute paths to target. Omit for 'run'/'retest' to target the whole workspace.
stageNo'fast' -> `pre-commit run --hook-stage pre-commit` (formatters/linters, no network/tests). 'heavy' -> `--hook-stage pre-push` (pytest, cargo, `uv lock --check`, ...). For 'run'/'retest'.fast
startNoFor 'phase_direction_here': directory to resolve the repository from (default: this process's current working directory).
top_nNo'profile' with no job_id/repo: how many slowest hooks to report fleet-wide.
job_idNoTarget one gate job for 'status'/'explain'/'profile'.
dry_runNoFor 'xdist_apply': report what would change without writing. Defaults to True on purpose -- rewriting ~40 repositories' pre-commit configs must be an explicit choice, never the consequence of omitting an argument.
summaryNo'status': compact roll-up (counts + failed set) vs the full per-job detail.
threadsNoParallel workers.
timeoutNoPer-repo pre-commit timeout in seconds.
escalateNo'retest' only: when a repo's narrowed retest passes every requested hook, also submit a SECOND job for that repo's full wave (a narrowed pass alone is never sufficient evidence of shippability -- see gate_ledger.is_shippable).

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.5.1

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, so the safety profile is covered. The description usefully adds that the fast stage involves formatters/linters with no network/tests while heavy includes pytest/cargo/uv lock. It does not disclose what happens on hook failure, whether files may be modified by formatters, or any timeout/permission behavior, so it adds moderate rather than rich context.

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 core purpose is front-loaded in the first sentence, and the stage explanation follows efficiently with low redundancy. The leading 'Run (rm_gates).' restates the tool name/title and is slightly wasteful, but overall it is appropriately sized.

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?

With 12 optional parameters, an output schema, and multiple behavioral modes referenced in the schema (status, explain, profile, retest, xdist_apply, audit_fail_fast), the description covers only the run/stage dimension. It never explains how those modes are selected or what each returns, leaving a meaningful gap for such a broad 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 description coverage is 100%, so the schema fully documents all 12 parameters, and the baseline is 3. The description corroborates the meaning of the stage parameter (fast vs heavy hook stages) but adds no format, default, or interaction detail beyond what the schema already states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: it runs and inspects the two-tier (fast/heavy) pre-commit gate across repos, and it frames itself as the one tool that can drive both tiers via pre-commit run --hook-stage. This distinguishes it somewhat from inspection-only siblings like rm_gates_explain or rm_gates_profile, but the framing 'Run and inspect' is broad for a tool that the schema shows handling many modes (status, explain, profile, retest, xdist_apply).

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?

The description explains what each stage means (fast = formatters/linters, no network/tests; heavy = pytest, cargo, uv lock --check), which implies when to pick a tier. However, it never states when to use this tool versus the many gate siblings (rm_gates_explain, rm_gates_profile, rm_gates_status, rm_gates_retest), nor any prerequisites or exclusions. Usage is inferred rather than directed.

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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