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github_pulls_create_reply_for_review_comment

Create a reply to a specific review comment on a GitHub pull request by providing the repository, pull number, comment ID, and reply body.

Instructions

Create a reply for a review comment

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYesowner
repoYesrepo
pull_numberYespull_number
comment_idYescomment_id
bodyNoRequest body (JSON object)
Behavior1/5

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

No annotations exist, so the description must fully convey behavioral traits. It only states 'Create a reply', omitting side effects, authentication needs, rate limits, or that this is a mutation. It does not explain what a reply entails (e.g., creates a new comment in the thread). The agent learns nothing about behavior beyond the basic action.

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 extremely concise (one sentence), which is appropriate for a simple action, but it lacks critical information. It is front-loaded but under-specified. Compared to a well-rounded description, it sacrifices content for brevity.

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

Completeness1/5

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

Given no output schema and no annotations, the description must be self-contained. It does not explain the return value, error conditions, or the relationship between parameters (e.g., that 'comment_id' must refer to an existing review comment on the specified pull request). The description is far too sparse for a mutation tool with five parameters.

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 coverage is 100%, but the schema descriptions are tautological (e.g., 'owner' described as 'owner'). The tool description adds no additional meaning—it does not explain what the 'body' parameter should contain or how 'comment_id' relates to the reply. Without compensating detail, the description fails to enhance parameter understanding.

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?

The description 'Create a reply for a review comment' uses a specific verb ('Create') and resource ('reply for a review comment'), clearly distinguishing it from siblings like 'create_review_comment' (which creates a top-level comment) and 'get_review_comment'. The purpose is unambiguous.

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?

The description provides no when-to-use guidance, prerequisites, or alternatives. For example, it does not clarify that this tool should only be used when a review comment already exists (comment_id is required), nor does it differentiate from 'update_review_comment'. The user must infer usage from the tool name alone.

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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