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vera.ink

List available Vera packs

list_packs
Read-onlyIdempotent

List owned and public packs. Select from available_packs and require readiness.query_ready=true. If none fits, do not guess a pack_id: propose a finite pack plan, ask the user to approve a credit ceiling, then use start_pack_build if approved.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds real behavioral value beyond that: a readiness gate on results and an explicit anti-hallucination guardrail ('do not guess a pack_id'). It does not discuss pagination or result volume, which keeps it below 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?

Three sentences, front-loaded with the purpose before the workflow, and every sentence carries actionable content. The middle sentence is dense but not padded; minor tightening of the selection/readiness clause would make it a 5.

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

Completeness5/5

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

With an output schema present, the description need not explain return values, and with no parameters there is nothing more to specify. It covers purpose, selection gate, fallback behavior, and the routing to start_pack_build, so an agent has everything required to act correctly.

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 there is no per-parameter semantics to explain; per the rubric this yields the baseline 4. The description adds no misleading parameter expectations and correctly implies the result is a selectable set.

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 and resource ('List owned and public packs') and goes on to route the agent toward selection logic and a fallback, which helps distinguish it from siblings like query_pack and start_pack_build. The core purpose is clear, though the routing detail is mixed into the statement rather than cleanly separated.

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 explicit selection criteria ('require readiness.query_ready=true'), an explicit exclusion ('do not guess a pack_id'), and the exact next tool to use if nothing fits ('use start_pack_build'), including the approval precondition of a credit ceiling. This is about as complete as when-to-use guidance gets.

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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