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Slab MCP Server and API by Cotlet

Get post insights in Slab

slab_get_post_insights
Read-onlyIdempotent

Get post insights in the user's own Slab account from ChatGPT, Claude or any AI agent. Returns how to do it in Slab step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Slab Cloud Browser. Slab's official API: Slab has a GraphQL API, but only on the Business and Enterprise plans (checked 28 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "slab_get_post_insights"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely non-obvious behavior: the return value is procedural guidance (screens, buttons, fields), the call performs no browser action, and work is scoped to the user's own account. It does not describe the format or granularity of the returned steps.

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?

Three sentences, front-loaded with what is returned and the critical 'opens nothing by itself' caveat before the follow-up instructions and the API note. The parenthetical '(screens, buttons, fields)' and the dated API check are compact and informative; the phrasing 'Returns how to do it in Slab step by step' is slightly convoluted but not wasteful.

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?

With no parameters and no output schema, the description carries the burden of explaining what comes back, and it does so at a high level while naming the downstream tools needed to act on the result. What's missing is minor: whether an existing browser session is required and how detailed or deterministic the returned steps are.

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?

The schema has zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-param tool applies. The description correctly implies no input is needed by saying it 'opens nothing by itself.'

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 pairs a specific verb and resource (get post insights) with a crucial clarification that the tool returns step-by-step instructions rather than the insights themselves, which prevents the most likely misread of the name. It stops short of defining what 'insights' means (views, reactions, traffic) or how it differs from slab_read_post, so the resource boundary is only partly drawn.

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?

It states the follow-up path explicitly — after receiving the steps, execute them with the cotlet_browser_* tools in the user's Slab Cloud Browser — and warns that the tool 'opens nothing by itself,' which tells the agent not to expect any browser side effect. It also explains why the official GraphQL API isn't an alternative (Business/Enterprise plans only), though it never states a when-not-to-use condition.

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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