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Apply an analysis overlay bundle

chart_apply_overlays

Apply indicators, levels, custom series, zones, and markers in a single atomic update, ensuring a fully consistent chart overlay without partial states.

Instructions

Atomically apply indicators, levels, custom series, zones, and markers so clients never observe a half-updated analysis workspace.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "chart_apply_overlays"
  }
}

Input Schema

Name	Required	Description	Default
`zones`	No
`levels`	No
`markers`	No
`replace`	No
`indicators`	No
`customSeries`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Aug 20, 2026

TDQS

A3.5/5.0

Behavior3/5

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

The description discloses the atomic apply behavior ('clients never observe a half-updated analysis workspace'), which adds value beyond the annotations. However, it does not mention the 'replace' parameter's default true behavior or what happens to existing overlays, leaving a meaningful behavioral gap. No contradiction with annotations.

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?

The description is a single, front-loaded sentence with no filler. Every word contributes to conveying the tool's purpose and key behavioral guarantee.

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

Completeness2/5

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

This is a complex tool with six parameters, nested objects, and no output schema, yet the description provides only one sentence. It omits replace semantics, default behaviors, and any guidance for constructing valid overlay bundles, making it insufficient for reliable invocation.

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?

With 0% schema description coverage, the description must compensate for parameter semantics, but it only names five of the six parameters (indicators, levels, custom series, zones, markers) and omits 'replace' entirely. It adds no detail about parameter formats, defaults, or relationships.

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 uses a specific verb ('apply') and resource ('analysis overlay bundle'), enumerates the five overlay categories, and the atomicity phrase distinguishes it from individual chart_add_* siblings. The title reinforces the bundle concept, making the tool's purpose immediately clear.

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

Usage Guidelines3/5

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

The atomicity and bundle wording imply batch use versus the individual chart_add_* tools, but there is no explicit guidance on when to use this tool instead of those alternatives, nor any exclusions. Usage context is implied rather than stated.

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