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funkyfunc

browser-dvr-mcp

by funkyfunc

browser_save_scenario

Save the current browser session as a replayable scenario with end-state assertions, enabling regression testing by running the saved scenario later.

Instructions

EVAL / REGRESSION. Save the current session as a named, replayable scenario: the recorded action bundle plus end-state assertions ("text Order confirmed is visible", "url contains /success"). Later, browser_run_scenario replays it and checks the assertions — a regression test for whether the agent can still complete the flow after a deploy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesA name for the scenario (e.g. "checkout-happy-path").
assertionsYesEnd-state assertions to verify after the scenario replays.
Behavior4/5

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

No annotations are provided, so description bears full burden. It discloses that the tool records actions and assertions, and implies a non-destructive save. However, it doesn't detail permission requirements or side effects, but the behavior is well described.

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?

Two sentences, no redundancy, front-loaded with 'EVAL / REGRESSION'. Every sentence contributes essential information.

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

Completeness4/5

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

Given no output schema and only 2 parameters, the description covers purpose, usage, and parameter semantics well. Could mention whether the tool requires a session to be active, but overall complete.

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

Parameters4/5

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

Schema coverage is 100%, but the description adds value by explaining 'end-state assertions' with concrete examples (e.g., 'text Order confirmed is visible'), enhancing understanding beyond the schema.

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 clearly states the tool saves the current session as a named, replayable scenario including action bundle and end-state assertions. It distinguishes from sibling tools like browser_run_scenario by mentioning replay and regression testing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly says 'EVAL / REGRESSION' and that later browser_run_scenario replays it, providing clear context. It doesn't explicitly mention when not to use or alternative tools for saving vs. exporting, but the purpose is clear enough.

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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