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anythink-cloud

Anythink-MCP

Official

Charts: list

charts_list
Read-only

List all saved charts, newest first, showing ID, name, type, data source, and last change. Filter by entity to view charts for a specific entity.

Instructions

List charts, newest first. Shows each saved chart's id, name, type, data source, the entity or metric it plots and when it last changed; pass entity to see only one entity's charts. A chart is saved on its own and appears on a dashboard only once added with dashboards_add_chart. Returns JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entityNoOnly charts that plot this entity

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.2.37

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful behavior: the newest-first sort order, the returned fields, and JSON output format.

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-loaded with purpose, then ordering, return shape, filter usage, and domain context. Well ordered; the trailing 'Returns JSON' is minor filler but not harmful.

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?

For a single-parameter read-only list tool with no output schema, the description covers ordering, fields, filtering, and the chart/dashboard relationship. Nothing essential for correct invocation is missing.

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

Parameters3/5

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

Schema coverage is 100%, so the single `entity` parameter is already documented as 'Only charts that plot this entity'. The description's 'pass entity to see only one entity's charts' largely restates the schema, so baseline 3 applies.

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 specific verb ('List charts') plus the ordering ('newest first') and enumerates the exact fields returned (id, name, type, data source, entity/metric, last changed). This clearly distinguishes it from siblings like charts_get, charts_create, and charts_delete.

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?

Explains that passing `entity` narrows results to one entity, and clarifies the chart/dashboard relationship ('appears on a dashboard only once added with dashboards_add_chart'). It stops short of explicitly contrasting this tool with charts_get, but the intended use is clear.

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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