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merge_pull_request

Simulates a pull request merge to test AI agent security. Evaluates if agents respect approval tokens and avoid unauthorized actions.

Instructions

Attempt a simulated pull-request merge.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pr_numberYes
approval_tokenNo
Behavior2/5

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

With no annotations provided, the description carries the full burden. It discloses that the merge is 'simulated', which is useful, but it does not explain side effects, prerequisites, or what happens on success/failure. The behavioral profile is incomplete.

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 a single concise sentence with no wasted words. However, it is under-specified for the tool's complexity, though not so minimal as the 'Process' example. It earns a 4 for efficient structure.

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 there is no output schema, no annotations, and the tool performs a mutating action (even if simulated), more context is needed about the return value, what 'simulated' means, and any prerequisites. The description is too sparse for the agent to use it confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not compensate by explaining the parameters. It neither mentions 'pr_number' nor 'approval_token'. Since the parameters are not self-explanatory (especially 'approval_token'), this is a significant gap.

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 uses a specific verb ('merge') and resource ('pull-request'), and the word 'simulated' distinguishes it from a real merge. It clearly sets apart from siblings like 'get_pull_request' or 'post_comment'.

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. It does not mention when to avoid it, nor does it refer to sibling tools like 'request_approval' or 'push_commit' as relevant alternatives.

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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