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reliai-in

io.github.loopg/pramana-mcp

by reliai-in

list_model_diffs

List comparison runs that checked a prompt or model change against recorded production AI agent runs, filtered by limit or start time.

Instructions

List comparison runs that checked a prompt or model change against recorded production runs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
sinceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.3

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. 'List' implies a safe read, but nothing is said about pagination, ordering, default limits, or result volume. It adds domain framing of what a comparison run is, but no operational behavior.

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 tight sentence with the resource front-loaded and no filler. The only minor cost is that 'comparison runs' does not echo the tool's own 'model diffs' terminology, requiring the agent to map the two.

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?

An output schema exists, so return format need not be explained, and this is a simple two-parameter list tool. Still, with zero annotation coverage and zero parameter coverage, an agent lacks the 'since' format and limit behavior needed to call it precisely.

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% and the description never mentions 'limit' or 'since'. Whether 'since' is a timestamp, ISO date, or run id is left entirely to guesswork, so the description does not compensate for the undocumented schema.

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?

States a specific verb ('List') and resource ('comparison runs') plus the domain meaning of those runs (prompt or model change checked against recorded production runs). It implicitly contrasts with the singular sibling get_model_diff, though it never names an alternative explicitly.

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 statement of when to use this list versus the sibling get_model_diff or list_traces, no prerequisites, and no exclusion conditions. The agent must infer routing purely from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.