Skip to main content
Glama

edit_styling

Update report styling by issuing natural language instructions for colors, backgrounds, and styles.

Instructions

Edit report styling via natural language. Examples:

  • "make all charts use a dark navy background"

  • "change primary color to #FF5733"

  • "use a minimal flat style with no borders"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
instructionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must handle behavioral disclosure. It only says 'Edit report styling' with examples, lacking details on side effects, reversibility, error handling, or output nature. For a mutation tool, this is insufficient.

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 very concise with one line and three examples. No redundant information; every element earns its place. Front-loaded with the core purpose.

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

Completeness3/5

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

Given the low complexity (2 params, output schema exists), the description covers the tool's purpose but omits context for session_id and does not explain the output. Output schema helps, but the missing parameter explanation reduces completeness.

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?

Schema description coverage is 0%, yet the description only mentions 'instruction' implicitly through examples. The 'session_id' parameter is not explained at all, leaving its purpose unclear. The description adds some value for instruction but fails to cover session_id.

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 states 'Edit report styling via natural language', specifying the verb (Edit) and resource (report styling). It distinguishes from siblings like add_filter, add_visual, and apply_image_theme by focusing on styling changes via NL instructions.

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 description implies usage via natural language and provides examples, but does not explicitly state when to use this tool versus alternatives, nor does it exclude other tools. Usage guidance is implicit rather than explicit.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/twilize5/reportforge'

If you have feedback or need assistance with the MCP directory API, please join our Discord server