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This connector has been deprecated

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.

Read the latest private recurring-issue reports, original case references, source coverage, generation status and human review

summer_reports_themes_list
Read-onlyIdempotent

Read the latest private recurring-issue reports, original case references, source coverage, generation status and human review. Generated themes are suggestions, not verified causes.

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_reports_themes_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
companyYes
environmentYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful context that the data is private and that generated themes are unverified suggestions, but it does not explain pagination, ordering, or how 'latest' is determined.

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?

The description is short and front-loads the resource scope. The only minor inefficiency is that the first sentence closely mirrors the title, but the second sentence adds a meaningful caveat.

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?

For a read-only list tool with two required parameters and no output schema, the description appropriately names the kinds of data returned and adds a trust caveat. However, it omits parameter meanings and does not distinguish this list operation from sibling get/generate/review tools, leaving meaningful gaps for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are two required parameters, company and environment, with 0% schema description coverage. The description never mentions either parameter, so it fails to compensate for the schema gap and does not clarify that company is a UUID or that environment must be staging or production.

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 uses a clear read verb and names the resource: latest private recurring-issue reports with case references, source coverage, generation status, and human review. It is specific about content but does not distinguish this list operation from siblings such as summer_reports_themes_get, generate, or review.

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?

The description provides no when-to-use guidance, no exclusions, and no alternatives. It states a caveat that generated themes are suggestions, not verified causes, but that is a trust note rather than usage routing.

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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