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4hglee-ops

Gyuniverse GitHub Projects MCP

by 4hglee-ops

apply_github_project_bulk_plan

DestructiveIdempotent

Apply an approved GitHub Projects bulk plan once after reauthorization and preflight checks. Stale plans perform zero writes; runtime failures stop remaining operations without retries.

Instructions

Apply one approved M10-5 bulk plan once. All operations are reauthorized and re-read before the first GitHub mutation; stale/preflight failures perform zero writes. Runtime failures stop remaining operations and are never auto-retried or rolled back.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planIdYes
planDigestYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.8/5.0
Behavior5/5

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

Beyond the annotations, which already declare destructive/idempotent/openWorld, the description discloses genuinely non-obvious behavior: all operations are reauthorized and re-read before the first mutation, stale/preflight failures produce zero writes (atomicity boundary), and runtime failures halt remaining operations with no auto-retry or rollback. That failure-mode detail is exactly what an agent needs before invoking an irreversible bulk write.

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?

Three tight sentences, front-loaded with the core action before the failure semantics. Every clause carries operational information with no filler.

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?

For a destructive, open-world mutation with no output schema, the description covers atomicity, authorization, and failure/retry behavior well, and annotations cover the safety profile. The remaining gap is parameter provenance (what a planId/planDigest is and where to obtain them), which is absent.

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 description coverage is 0% and there are two required parameters (planId, planDigest), yet the description mentions neither. The regex patterns in the schema convey format but not where the values come from or their relationship, and the description does nothing to close that gap.

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+resource ('Apply one approved bulk plan') and scopes it as the execution step that consumes an already-approved plan, which meaningfully separates it from get_github_project_bulk_plan and approve_github_project_bulk_plan. It stops short of explicitly naming the sibling that produces an approved plan, so it does not fully differentiate by name.

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?

'One approved M10-5 bulk plan once' implies this is the terminal execution step and should not be repeated, which is useful routing guidance. However, it never states the precondition explicitly (e.g. 'requires a plan approved via approve_github_project_bulk_plan') nor points to preview_github_project_bulk_updates as the non-mutating alternative.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.