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create_pull_review

Submit a pull request review by selecting APPROVED, REQUEST_CHANGES, or COMMENT, and include specific comments to communicate feedback clearly.

Instructions

Submit a pull request review. event in APPROVED/REQUEST_CHANGES/COMMENT.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNo
repoYes
eventYes
indexYes
ownerYes
commentsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It reveals that the tool submits a review and lists event values, but it does not explain side effects, permissions, whether the PR must already exist, how comments are handled, or what the response contains. The output schema exists but doesn't compensate for the missing behavioral context.

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 description is short and front-loaded with the action and the most important parameter constraint. It wastes no words, though it is so brief that it omits other useful details. This is concise but not richly structured.

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?

For a mutation tool with no annotations, six parameters, and no schema-level descriptions, this description is not complete. It leaves key parameters like 'index' ambiguous, gives no usage or behavioral context, and only partially explains the event parameter. The output schema helps with return values, but the agent still lacks enough context to invoke the tool confidently.

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%, so the description must explain the parameters, but it only addresses 'event' by listing APPROVED/REQUEST_CHANGES/COMMENT. It does not clarify 'index' (likely the pull request number), 'body', 'comments', or the roles of owner/repo. The event value list is useful, but five of six parameters remain semantically unexplained.

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 states a specific action ('Submit') and a specific resource ('pull request review'), and the event values make the operation's scope clear. It does not explicitly name sibling tools, but the verb and resource are distinctive enough to separate it from list_pull_reviews, get_pull_review, and merge_pull_request.

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 about when to use this tool versus alternatives such as list_pull_reviews or get_pull_review. The only contextual hint is the verb 'Submit,' which implies use when creating a review, but there are no exclusions, prerequisites, or comparisons to sibling tools.

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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