netcoredbg-mcp

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verify_debug_freshness

Read-only

Confirm the active debug session aligns with expected modules, sources, artifacts, and process details to detect stale runtime state.

Instructions

Verify that the debug session matches expected runtime evidence.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "verify_debug_freshness"
  }
}

Input Schema

Name	Required	Description	Default
`expected_modules`	No
`expected_sources`	No
`expected_artifacts`	No
`expected_workspace`	No
`expected_process_id`	No
`expected_process_name`	No
`require_active_process`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.17.2Jun 12, 2026

TDQS

C2.6/5.0

Behavior2/5

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

While the readOnlyHint annotation correctly signals a read-only operation, the description adds no behavioral context beyond that. It does not explain what 'verify' entails (e.g., checks specific fields, possible outcomes), nor does it disclose any side effects or requirements. With annotations present, the description fails to provide additional value.

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 a single sentence, achieving high conciseness with no redundant words. It is front-loaded and easy to parse. However, the extreme brevity sacrifices meaningful information, which prevents a perfect score.

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?

Given the tool has 7 parameters, all optional, and no output schema, the description is notably incomplete. It does not explain the verification process, expected return values, error conditions, or the meaning of 'freshness'. The agent will struggle to use this tool correctly without additional context.

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

Parameters1/5

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

The description provides no information about the 7 parameters, despite the input schema having 0% description coverage. Although the schema titles hint at meaning (e.g., 'Expected Process Id'), the description does not clarify how these parameters are used or their relationships. This forces the agent to rely solely on schema titles, which may be insufficient.

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 clearly states the tool's purpose: verifying that a debug session matches expected runtime evidence. It uses a specific verb (verify) and resource (debug session freshness). However, it does not differentiate itself from sibling tools like 'debug_hygiene_preflight' or 'run_runtime_smoke' which might have overlapping functions.

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 guidance on when to use this tool versus alternatives. The description does not specify prerequisites, scenarios, or exclusions. It leaves the agent to infer usage context from the name alone.

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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