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update_pull_request

Modify pull request details including title, body, state, or base branch to manage code review and collaboration workflows.

Instructions

Update a pull request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYesRepository owner
repoYesRepository name
pull_numberYesPull request number
titleNoNew title
bodyNoNew body
stateNoNew state (open, closed)
baseNoNew base branch

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. 'Update' implies a mutation, but the description doesn't disclose behavioral traits like required permissions, whether changes are reversible, rate limits, or what happens to unspecified fields. It lacks context on what 'update' entails 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.

Conciseness5/5

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

The description is extremely concise with just two words, front-loading the essential action. There is zero waste or redundancy, making it efficient for quick scanning. However, this conciseness comes at the cost of completeness.

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?

Given the complexity of a mutation tool with 7 parameters, no annotations, and an output schema (which helps but isn't described), the description is incomplete. It doesn't cover behavioral aspects, usage context, or differentiate from siblings, leaving significant gaps for an AI agent to understand when and how to invoke it correctly.

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 100%, with all parameters well-documented in the schema (e.g., 'owner', 'repo', 'pull_number', 'title', 'body', 'state', 'base'). The description adds no additional meaning beyond what the schema provides, so it meets the baseline of 3 for high schema coverage.

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

Purpose3/5

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

The description 'Update a pull request' states the basic action and resource, but is vague about what aspects can be updated. It doesn't differentiate from sibling tools like 'update_issue' or 'update_pull_request_branch', which handle similar resources. The purpose is clear at a high level but lacks specificity.

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 like 'update_pull_request_branch' or 'merge_pull_request'. The description doesn't mention prerequisites (e.g., authentication, permissions) or contextual factors (e.g., only usable on open PRs). Usage is implied but not explicitly stated.

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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