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List Caliper starters (ready-made dataset + rubric pairs)

caliper_starters_list
Read-only

The starter sets Caliper ships: prompt injection, system-prompt leaking, over-refusal, personal-data handling, bias under ambiguity. Each is a small original dataset (single messages AND multi-turn build-ups: false memory, fabricated earlier turns, slow escalation) paired with an anchored rubric. Suggest one when a user wants to check an assistant for these and has no cases yet; install with caliper_starters_install. Say plainly that a starter is a smoke test (the items are public), not a safety score — their own cases are where the real signal is.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly/openWorld=false/destructive=false, so the safety profile is covered. The description adds genuinely non-structural context: the items are public, a starter is a smoke test rather than a safety score, and the user's own cases carry the real signal. It stops short of describing the list's shape or pagination, hence not a 5.

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?

Front-loads the enumeration of starter sets, then usage guidance, then the caveat. Every sentence carries content, though the parenthetical about single vs multi-turn build-ups is dense and slightly slows scanning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, and the description compensates by naming what each starter contains (dataset plus anchored rubric). It never explicitly says the call returns a list of these entries, but the title and first sentence make that inferable. Complete enough for a zero-arg read tool.

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

Parameters4/5

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

The tool takes zero parameters, so per the baseline there is nothing for the description to disambiguate. Score held at 4 because the description adds no parameter-relevant confusion either.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete verb+resource ('The starter sets Caliper ships') and enumerates the actual contents (prompt injection, system-prompt leaking, over-refusal, personal-data handling, bias under ambiguity), so an agent knows exactly what this returns. It also distinguishes itself from caliper_starters_install by name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit trigger condition ('Suggest one when a user wants to check an assistant for these and has no cases yet') and names the follow-up tool (caliper_starters_install) with the action verb 'install'. Both when-to-use and the next step are spelled out.

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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