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Sendible MCP Server and API by Cotlet

Reply to message in Sendible

sendible_reply_to_message
Read-onlyIdempotent

Reply to message in the user's own Sendible account from ChatGPT, Claude or any AI agent. Returns how to do it in Sendible step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Sendible Cloud Browser. Sendible's official API: Sendible documents no public API (checked 20 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": "sendible_reply_to_message"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description usefully reinforces this with 'opens nothing by itself', so an agent knows no state changes here. It also discloses why browser automation is required (Sendible documents no public API), which is genuine context beyond the annotations, though the shape of the returned instructions is only loosely described.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The core scoping information is present but the opening phrase 'from ChatGPT, Claude or any AI agent' is marketing filler that does not help selection. The API-provenance note is borderline useful but is stated with an oddly specific future check date, adding noise to an otherwise short definition.

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, rich annotations and no output schema, the description covers what an agent needs: that it returns a procedure rather than performing the reply, and which tools carry out the action. The only shortfall is that it does not characterize the returned instructions' structure beyond 'screens, buttons, fields'.

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 tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. No schema meaning is lost.

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 second sentence states concretely what the tool produces: step-by-step instructions with screens, buttons and fields, and explicitly that it 'opens nothing by itself' and hands off to cotlet_browser_* tools. However, the leading sentence 'Reply to message in the user's own Sendible account' frames it as an action tool, which slightly obscures that this is a guide-retrieval tool and not an executor.

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 gives a clear two-step workflow: call this first to get the instructions, then perform the reply with the cotlet_browser_* tools in the user's Sendible Cloud Browser. It does not state when another sendible_* tool would be the better choice, so no exclusions are provided.

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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