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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.

Generate a private recurring-issue report from the admitted case-summary cohort

summer_reports_themes_generate
Destructive

Generate a private recurring-issue report from the admitted case-summary cohort. One immutable request ID prevents duplicate inference. No customer, knowledge or publication effect.

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>",
      "request_id": "<request_id>",
      "from": "<from>",
      "to": "<to>"
    },
    "name": "summer_reports_themes_generate"
  }
}

Input Schema

NameRequiredDescriptionDefault
toYes
fromYes
companyYes
request_idYes
environmentYes
idempotency_keyNoReuse the same key when retrying the same change

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.4/5.0
Behavior2/5

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

It usefully states the output is private and has "no customer, knowledge or publication effect," which adds real side-effect context beyond the annotations. However, "one immutable request ID prevents duplicate inference" and the schema's idempotency_key ("reuse the same key when retrying") both imply retry-safe dedup behavior, which conflicts with idempotentHint=false.

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?

Three short sentences with no filler, and the core purpose is stated first. Slightly terse for the amount of unexplained domain vocabulary, but structurally sound.

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

Completeness2/5

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

For a non-readonly, destructiveHint=true, openWorldHint=true tool with six params and no output schema, the definition omits what the report contains, how the date range scopes the cohort, and how the returned artifact is identified or retrieved.

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?

Schema description coverage is only 17% — just idempotency_key is documented. The description says nothing about what company, environment, request_id, from or to mean in this report context, so it fails to compensate for the coverage gap on a 6-parameter tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The verb+resource ("Generate ... recurring-issue report") is clear, but "admitted case-summary cohort" is opaque jargon and the definition never distinguishes this from the neighboring report tools (summer_reports_themes_get/list/review), which act on the same themes domain.

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?

No when-to-use guidance and no named alternatives, despite four sibling tools in the reports_themes family. The only operational remark is that a request ID prevents duplicate inference, which is a mechanics note rather than a routing rule.

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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