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Glama

generate_placeholder_svg

Create customizable geometric SVG placeholder badges with custom dimensions, labels, and color palettes. Specify parameters to generate a placeholder image for prototyping or design mockups.

Instructions

Generates customizable geometric SVG placeholder badges with custom dimensions, labels, and color palettes. (0.005 USDC on Base L2)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYesInput parameters or JSON string payload for the tool execution
paymentSignatureNoBase L2 USDC micropayment signature or transaction hash for x402 settlement

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description bears the full burden. It usefully discloses a cost and network requirement (0.005 USDC on Base L2) and implies a generate-only behavior. However, it does not explain the return value beyond the SVG implication, whether paymentSignature must accompany the call, or any failure behavior.

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?

One efficient sentence plus a short pricing parenthetical. The action, resource, customization scope, and cost are all communicated without filler or repetition.

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?

The primary input is an opaque payload string, yet neither the description nor the schema defines its structure. The cost note does not clarify whether paymentSignature is required for execution, and there is no output schema describing the returned SVG. For a paid tool with minimal structured guidance, more operational detail is needed.

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 schema already documents both parameters with 100% coverage, giving a baseline of 3. The description adds meaningful semantics by specifying custom dimensions, labels, and color palettes, which informs what should go inside the opaque payload string. It stops short of providing exact key names or JSON structure.

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 action and resource: generates customizable geometric SVG placeholder badges. It also names concrete customization axes (dimensions, labels, color palettes), which distinguishes it from sibling SVG-related tools like convert_svg_to_png and optimize_vector_svg.

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 intended use case (creating placeholder SVG badges) is implied by the description, but there is no explicit when-to-use guidance, no exclusions, and no named alternatives. An agent must infer that this tool is for generation rather than conversion or optimization.

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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