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github_create_issue_comment

Add comments to GitHub issues using the Lightbulb Partners platform. Integrates with agents and workspaces for automated issue collaboration.

Instructions

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

Routes through /api/tools/invoke under your JWT, tenant, and company scope.

Args: arguments: JSON string of arguments for the connector operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argumentsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits but only mentions routing infrastructure (JWT, tenant, scope). It does not indicate that the tool performs a mutation (creates a comment), nor does it explain the actual behavior or required inputs beyond the vague 'JSON string of arguments.'

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is relatively short and avoids verbosity, but it is not optimally structured for agent use. It begins with technical routing information rather than the core purpose, and could be reordered to front-load the functional description.

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 only one parameter, the description lacks essential context for a mutation tool. It fails to explain what arguments are required (e.g., issue identifier, comment body) or how to structure the JSON string, making it incomplete for an agent to invoke correctly.

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%, yet the description only repeats that 'arguments' is a JSON string without specifying its internal structure. This adds minimal value beyond the schema itself, leaving the agent without necessary details to construct valid arguments.

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?

The description identifies the tool as a GitHub connector operation to create an issue comment, and includes the platform tool name for clarity. However, it does not explicitly state the purpose in plain language like 'Creates a comment on a GitHub issue,' and lacks differentiation from sibling tools like github_create_issue.

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 provided on when to use this tool versus alternatives, or what prerequisites are needed (e.g., issue number, repository context). The description focuses solely on internal routing details rather than usage context.

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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