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WCGW Safety Suite - Functional Safety Requirements and Traceability MCP Server

list_evaluation_results

Read-only

List saved AI evaluations for a work item.

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": {
      "work_item_id": "<work_item_id>"
    },
    "name": "list_evaluation_results"
  }
}

Input Schema

NameRequiredDescriptionDefault
work_item_idYesWork item ID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered without the description. The word "saved" is the one piece of added behavioral signal, implying persisted prior evaluations rather than a live computation, but nothing is said about ordering, pagination, or volume of results.

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?

A single short sentence with the scope (work item) front-loaded and no filler or redundancy. It is efficient, though the terseness leaves no room for the routing guidance an agent would benefit from.

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 simple one-parameter read tool with full annotation coverage, the definition is minimally adequate. With no output schema, the description could have said what a result entry looks like or whether an empty list is possible, and it gives no sibling routing, so gaps remain.

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% with a single required work_item_id parameter, so the schema carries the parameter documentation burden. The description's phrase "for a work item" merely echoes the schema field rather than adding format or sourcing detail, so the baseline 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 pairs a specific verb ("List") with a specific resource ("saved AI evaluations") and a scope ("for a work item"), so the agent knows exactly what is returned. It stops short of differentiating itself from close siblings such as get_evaluation_result (singular retrieval) or evaluate_work_item (which presumably creates one), so it is clear but not fully disambiguated.

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 when-to-use guidance and no mention of alternatives. An agent facing get_evaluation_result and evaluate_work_item alongside this tool must infer that "List" means plural enumeration and the others mean single-fetch or run, which is left entirely 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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