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Sendible MCP Server and API by Cotlet

Approve or reject task in Sendible

sendible_approve_or_reject_task
Read-onlyIdempotent

Approve or reject task 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_approve_or_reject_task"
  }
}

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?

Adds real context beyond the annotations: the tool returns screen/button/field-level instructions and performs no action itself, which is consistent with readOnlyHint=true and destructiveHint=false. It also explains why browser tools are required (no public Sendible API documented), which an agent can't infer from structured fields. It does not describe pagination, output length, or what happens if the user's account differs from the documented flow.

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?

Front-loads the action and the handoff to browser tools, but the phrase 'from ChatGPT, Claude or any AI agent' is marketing padding that adds nothing for an agent. The second half is a dense semicolon-joined run-on mixing the return format, the execution path, and an API-availability note.

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?

For a zero-parameter guide tool with no output schema, the description does the necessary work: it says what comes back (step-by-step screens, buttons, fields) and names the follow-up tools. The one unresolved tension is that openWorldHint=false while the described execution path is live web-browser interaction, but the tool itself does open nothing, so this is minor.

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 the baseline is 4. The description correctly implies no inputs are needed and doesn't fabricate parameter detail.

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?

States a specific verb+resource ('Approve or reject task') scoped to 'the user's own Sendible account', and importantly clarifies it is a step-by-step guide rather than an executor ('opens nothing by itself'). An agent can tell this is a procedural-lookup tool, though it never contrasts itself with the other sendible_* siblings such as sendible_send_post_for_approval.

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?

Gives an explicit workflow: call this first to get steps, then perform them with the cotlet_browser_* tools in the user's Sendible Cloud Browser. That sequencing is the key decision an agent needs. It lacks any when-not guidance (e.g., what to do if the user hasn't opened a browser session, or when a direct API-based sibling would be preferable).

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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