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Runik AI

views_list

Read-only

List configured views (kanban, calendar, dashboard, chart, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

The annotation readOnlyHint=true already indicates a safe read operation. The description adds contextual detail about what constitutes a 'view' (e.g., kanban, calendar), which goes beyond the annotation without contradicting it.

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

Conciseness5/5

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

A single, front-loaded sentence that communicates the purpose and scope without any wasted words.

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?

For a parameterless, read-only list tool with an annotation and clear description, this is fully sufficient. No output schema is needed to explain return values.

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 has zero parameters, so the schema coverage is effectively 100%. The baseline for 0 params is 4, and the description adds no unnecessary parameter info, which is appropriate.

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?

The description clearly identifies the action ('List') and the resource ('configured views'), with explicit examples of view types (kanban, calendar, dashboard, chart). This distinguishes it from sibling tools like tables_list and template_list.

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

Usage Guidelines4/5

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

The description implies when to use it: to list views. It doesn't explicitly name alternatives or exclusions, but the context is clear enough for a simple list operation.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct resource: configuration, tables, templates, or views. Within each resource, actions are clearly separated (create vs list, install vs list), leaving no ambiguity.

Naming Consistency4/5

All tools follow a resource_action pattern (e.g., config_get, table_create, tables_list), but there is minor inconsistency in singular/plural usage (table_create vs tables_list vs template_install). The pattern is still predictable and readable.

Tool Count5/5

Six tools cover the core configuration and management functions without being excessive. Each tool has a clear purpose, making the set well-scoped for its domain.

Completeness4/5

The set covers the main lifecycle for configurations, tables, templates, and views (get, create, list, install). Missing update/delete operations for tables and views are minor gaps that agents can likely work around, as the focus appears to be initial setup.

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