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by morluto
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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record_kernel_validation_comparison

Persist a kernel validation comparison between baseline and candidate run sets, storing exact input provenance and metric thresholds for audit.

Instructions

Persist a correctness comparison and exact input provenance.

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": {
      "request": "<request>"
    },
    "name": "record_kernel_validation_comparison"
  }
}

Input Schema

NameRequiredDescriptionDefault
requestYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.15

TDQS

C2.5/5.0
Behavior2/5

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

Annotations already declare the tool is not read-only, not idempotent, and not destructive. The description adds little beyond restating that data is persisted; it does not disclose overwrite behavior, required prior state, validation effects, or return semantics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is economical and front-loaded, but it is under-specified for a tool with a large nested request schema. The brevity omits needed information rather than being disciplined concision.

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 complex tool with a one-parameter nested request and an output schema, the description is incomplete. It does not explain what the request must contain, what 'exact input provenance' entails, or how this tool relates to the nearby compare/record tools.

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 0%, so the description must compensate, but it only gives the high-level ideas of comparison and provenance. It does not explain required fields such as baseline_run_set_id and candidate_run_set_id, nor the optional protocol and experiment_id fields.

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 uses a specific verb 'Persist' and identifies the resource as a correctness comparison plus exact input provenance. This makes the core purpose clear and conceptually distinguishes it from the sibling 'compare_kernel_validation', though it does not explicitly name alternatives or mention kernel validation.

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 guidance is given on when to use this tool versus related siblings like 'compare_kernel_validation' or 'record_comparison'. The verb 'Persist' implies a write action, but there is no stated context, prerequisite, or exclusion.

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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