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This was a duplicate manual listing. Use Summer’s official listing, imported from the official MCP Registry. Summer’s MCP server remains active at https://api.gosummer.ai/mcp. Setup and documentation: https://gosummer.ai/docs/mcp-clients.

List the Slack channels the company selected for Summer, with read and post access and each channel's vendor and purpose

summer_slack_channels_list
Read-onlyIdempotent

List the Slack channels the company selected for Summer, with read and post access and each channel's vendor and purpose. Agents see the vendor and purpose with every vendor Slack read.

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>"
    },
    "name": "summer_slack_channels_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
companyYesSummer company ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered structurally. The description adds the access-level context ('read and post access') and the vendor/purpose payload, but says nothing about pagination, ordering, or what happens when the company has no selected channels.

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?

Two short sentences with the core scope front-loaded. The second sentence about vendor/purpose appearing on every vendor Slack read is slightly redundant with the first sentence's enumeration of vendor and purpose, but it is not wasteful enough to hurt.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description must convey the return shape; it partially does by naming vendor, purpose and read/post access, but omits channel identifiers, names, and total result shape. For a one-parameter read tool this is adequate but leaves the agent guessing about the exact payload.

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 description coverage is 100% — the single 'company' parameter is documented as a Summer company ID with a UUID pattern. The description adds nothing about the parameter beyond what the schema already carries, so the baseline of 3 applies.

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 names a specific verb and resource ('List the Slack channels the company selected for Summer') and adds what each entry carries (read/post access, vendor, purpose). It does not, however, distinguish itself from the sibling summer_slack_channels_describe, so the boundary between listing and describing is left implicit.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus summer_slack_channels_describe or any other sibling. The only guidance is an oblique note that vendor and purpose accompany vendor Slack reads, which explains downstream behavior rather than tool selection.

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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