management_letter
Generate management response letter to findings. 4-eyes principle.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No | ||
| finding_ids | No | Comma-separated finding IDs (empty=all open) |
Generate management response letter to findings. 4-eyes principle.
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No | ||
| finding_ids | No | Comma-separated finding IDs (empty=all open) |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. The phrase '4-eyes principle' hints at a review requirement, but does not explain what this means for the agent (e.g., permissions, side effects, or whether approval is needed). The description lacks disclosure about what the tool does to findings or how the letter is generated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise (one sentence) and front-loaded with the primary purpose. However, it is under-specified and omits critical usage and parameter context, making it not appropriately sized for the tool's informational needs. It earns a 3 for brevity but not for completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, output schema, and minimal parameter descriptions, the description does not provide enough context for an agent to use the tool correctly. It tells what it generates but not when to use it, what entity_id is for, or the expected output. This is a clear gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 50% description coverage (finding_ids is described, entity_id is not). The tool description adds no clarification for either parameter and does not compensate for the missing entity_id explanation. It only mentions 'findings' generically, which does not help the agent understand the parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's action ('Generate') and resource ('management response letter to findings'), which is specific and distinguishes it from sibling tools like 'get_report' or 'annual_report'. However, it does not explicitly contrast with alternatives, so it falls short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or context for selecting it over sibling tools like 'approve_report' or 'incident_report'.
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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