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Prepare reusable company knowledge from an operator correction or human reply and a fast reply draft from the saved conversation

summer_cases_teaching_prepare
Destructive

Prepare reusable company knowledge from an operator correction or human reply and a fast reply draft from the saved conversation. Also requires cases.read. Saves and sends nothing; no investigation is queued.

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>",
      "case": "<case>",
      "source": "<source>",
      "text": "<text>"
    },
    "name": "summer_cases_teaching_prepare"
  }
}

Input Schema

NameRequiredDescriptionDefault
caseYes
textYes
sourceYes
companyYes
environmentYes
idempotency_keyNoReuse the same key when retrying the same change

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior3/5

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

With annotations present the bar is lower, and the description adds real context: a required cases.read scope and the fact that no writes, sends, or investigations occur. It does not explain what the destructiveHint=true actually covers (e.g. whether a previously prepared draft is overwritten), leaving a visible tension between 'saves nothing' and the destructive annotation that the agent must guess about.

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 no filler, and the negative scope is front-loaded where it matters. Points lost because the opening sentence is a convoluted restatement of the title rather than a crisp statement of what is produced.

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?

This is a destructive-flagged, six-parameter, low-schema-coverage tool with no output schema, yet the description never says what a 'prepared' result looks like or what state it may replace. For a tool whose whole value is the preview output, that omission leaves the agent under-informed despite the annotations.

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% across six parameters, so the description must compensate and it does not: no parameter is named or explained. At most 'operator correction or human reply' loosely maps to the source enum and 'saved conversation' to the case UUID; text limits, environment, and the required idempotency key receive no semantic help.

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 description names a 'prepare' verb over two resources (reusable company knowledge and a fast reply draft), so the intent is roughly graspable. However, the first sentence is verbatim the tool title with tangled syntax ('from an operator correction or human reply and a fast reply draft'), and it never names the sibling that actually commits (summer_cases_teaching_save). Purpose is implied more than stated.

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?

Negative guidance ('Saves and sends nothing; no investigation is queued') and a permission prerequisite ('Also requires cases.read') tell the agent this is a staging step, which implies the save tool is the follow-up. But no explicit when-to-use/when-not or named alternative is given, so the routing decision against summer_cases_teaching_save and summer_knowledge_create is left to inference.

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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