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github_dismiss_review

DestructiveIdempotent

Dismiss a GitHub pull request review through the Lightbulb MCP connector, using authenticated project and account context to route the action securely.

Instructions

Github connector operation dismiss_review (platform tool github.dismiss_review).

Routes only through the exact project/account governed connector authority.

Args: arguments: JSON string of arguments for the connector operation. project_id: Authenticated Project UUID. project_ref: Exact project correlation reference. connector_account_ref: Project-bound connector account alias. idempotency_key: Stable business-action identity. effect: Claimed read or write effect; Spring verifies it. approval_ref: Approved platform task UUID when resuming a write.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
effectNo
argumentsNo{}
project_idNo
project_refNo
approval_refNo
idempotency_keyNo
connector_account_refNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changedv0.1.1
    • addedInput schema / properties / approval_ref
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Approval Ref"
      +}
    • addedInput schema / properties / connector_account_ref
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Connector Account Ref"
      +}
    • addedInput schema / properties / effect
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Effect"
      +}
    • addedInput schema / properties / idempotency_key
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Idempotency Key"
      +}
    • addedInput schema / properties / project_id
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Project Id"
      +}
    • addedInput schema / properties / project_ref
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Project Ref"
      +}
  2. First observedv0.1.0

TDQS

C2.8/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=true. The description adds useful behavioral context: governance routing, Spring verifying the claimed effect, and approval_ref being required when resuming a write. It doesn't detail what destructive effect occurs, but the annotations partially cover that.

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 Arg-list format is clean and compact, with no filler sentences. The main weakness is the opening line, which is largely tautological and could have been replaced with an actual statement of what the operation does.

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

Completeness2/5

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

Despite having an output schema and annotations, the description omits the actual GitHub operation semantics, required arguments for the dismiss action, and the approval/resume workflow details. An agent would still be uncertain how to construct 'arguments' and what the effect of the call really is.

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 0%, so the description must compensate. It provides a one-line gloss for each of the 7 parameters, which is helpful. However, the critical 'arguments' parameter remains opaque—nothing indicates what GitHub dismiss-review fields (e.g., review_id, message) should go inside the JSON string—and several definitions are abstract ('exact project correlation reference').

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

Purpose2/5

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

The description only restates the tool name ('Github connector operation dismiss_review') and identifies it as a platform tool. It never states what dismissing a review actually does, such as marking a pull request review as dismissed. This makes it hard to distinguish from siblings like github_submit_review or github_list_reviews.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus github_submit_review, github_list_reviews, or other GitHub review tools. The only constraint mentioned—routing through governed connector authority—is about execution routing, not about selecting the tool for the right situation.

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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