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github_issue_create

Create a GitHub issue for postponed work with imperative title, role label, and what/why/done-when body; supports dry-run preview and approval before live creation.

Instructions

Open an issue for postponed work: imperative title, a role label (+ next|later), body with what/why/done-when. Runs gh as the configured GitHub account. dry_run returns the exact command; live: human approval. n/a (nothing runs) when the user turned off the github_issues run option (pass app_dir).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
repoYes
titleYes
labelsYes
app_dirNo
dry_runNo
approval_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses execution via gh as the configured account, that dry_run returns the exact command, that live requires human approval, and that it is a no-op when the github_issues run option is off. It omits error/auth-failure handling, keeping it below a 5.

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?

Dense but front-loaded: the purpose and content conventions come first, followed by execution behavior and gating. Every sentence carries information; the terse 'n/a (nothing runs)' phrasing is slightly cryptic but not wasteful.

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 mutation tool with an output schema already present, the description covers the safety-relevant behavior (dry_run, human approval, run-option gating) an agent needs before calling it. Only the undocumented repo and approval_id parameters leave a small gap.

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 0% across 7 params, so the description must compensate. It adds real meaning for title, labels (role label + next|later), body (what/why/done-when), dry_run and app_dir, and implies approval_id via 'live: human approval', but repo and approval_id are never named explicitly.

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?

States a specific verb+resource ('Open an issue for postponed work') and immediately distinguishes it from sibling repo/push tools by naming the intended workflow. The 'postponed work' framing and content conventions make the tool's niche clear without opening the schema.

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?

Gives a clear context for when to use it ('for postponed work') and explains the dry_run vs live approval flow, which is exactly the routing an agent needs. It does not explicitly name the closest sibling (github_issues_bootstrap) as an alternative, so it falls short of a 5.

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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