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Summer

by ai.gosummer
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Read all waiting and sending Summer messages across email, Slack, texts and website chat for a company/environment

summer_messages_queued_list
Read-onlyIdempotent

Read all waiting and sending Summer messages across email, Slack, texts and website chat for a company/environment. Includes paced replies, office-hour queues and company-wide Slack setup messages, original recipients, saved text, next eligible send times and case links. Filter by channel and page with offset/limit. Counts cover the whole queue. Changes nothing and never sends or retries a message.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "company": "<company>",
      "environment": "<environment>"
    },
    "name": "summer_messages_queued_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
offsetNo
channelNo
companyYes
environmentYes

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 mark it read-only, idempotent, open-world and non-destructive; the description reinforces this with 'Changes nothing and never sends or retries a message' and adds useful queue content details such as paced replies, office-hour queues, setup messages, and next eligible send times. It does not cover auth requirements or rate limits, but with annotations the safety profile is well covered.

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?

The purpose is front-loaded in the first sentence, followed by returned-content details, filtering/paging, and non-mutation confirmation. The sentences are dense and none is filler.

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 output schema, the description usefully names returned content such as original recipients, saved text, next eligible send times, and case links, and clarifies that counts span the full queue. It is complete enough to choose and call the tool, though it could say more about pagination defaults and required company/environment format.

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 0%, so the description must carry parameter meaning. It names company/environment scope and explains channel filtering plus offset/limit paging, including that counts cover the whole queue, but it does not explain the company UUID/environment enum or limit defaults and maxima, leaving required identifier semantics to 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?

States a specific read/list operation over queued Summer messages across four channels scoped to company/environment. The 'across email, Slack, texts and website chat' phrasing distinguishes it from single-channel queued siblings such as summer_cases_queued_slack_list and summer_cases_queued_texts_list.

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

Usage Guidelines3/5

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

The description implies use when you need the full cross-channel queue and says to filter by channel/page, but it never explicitly names when to prefer this over single-channel queued siblings or messenger conversation lists. Usage is inferable rather than directed.

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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