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Salonist MCP Server and API by Cotlet

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cotlet_browser_open
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Starts the user's Cloud Browser (a real Chrome on Cotlet, where the user is signed in to their sites) and opens url. Call it first. The URL goes to the site's open tab, else to a new tab, so the user's own tabs stay. Answers the page after it: the elements and text in view, with the same numbers. In Salonist it serves these actions: Book appointment, Reschedule appointment, List clients, Create bill, Assign package.

Input Schema

NameRequiredDescriptionDefault
appNoLeave it out: the step runs in the user's web browser. Only when cotlet_app_guide names an app's own Cloud Browser, that app's slug, e.g. milanote.
urlNoA public http or https address, e.g. https://example.com.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Beyond the annotations, the description discloses that it launches a real signed-in Chrome session and that the URL reuses the site's existing tab rather than disturbing the user's tabs, which is genuinely useful behavioral context. It also describes what the call returns (visible elements and text with matching numbering). Minor gap: it does not say whether launching the browser is a persistent side effect, which sits uneasily beside readOnlyHint but does not outright contradict it.

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 imperative opening and the 'Call it first' sequencing note are front-loaded and useful. The sentence 'Answers the page after it: the elements and text in view, with the same numbers' is slightly compressed to the point of being cryptic, but overall there is little wasted text.

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 there is no output schema, the description helpfully covers the return content, and it supplies the environment and tab behavior an agent needs before invoking. The remaining unknown, when this should be preferred over cotlet_browser_navigate, is the main thing left unaddressed.

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 coverage is 100%, and the schema already explains both `app` (leave it out; use only when cotlet_app_guide names an app) and `url`. The description adds no syntax or format detail beyond that, so the baseline 3 is appropriate.

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 uses a specific verb and resource ('Starts the user's Cloud Browser... and opens `url`') and explains what the Cloud Browser is (a real Chrome where the user is signed in). It does not explicitly contrast with the sibling cotlet_browser_navigate, so an agent must infer that difference, but the purpose itself 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 Guidelines4/5

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

'Call it first' gives explicit ordering guidance, and the enumeration of the Salonist actions this serves shows the workflows it enables. It lacks an explicit exclusion (e.g., when to use cotlet_browser_navigate instead), so it stops short of the top score.

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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