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FontGlitch Zalgo Text

Server Details

Zalgo / glitch text generator plus 17 Unicode fancy font styles (bold, cursive, gothic, bubble).

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Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL

TDQS

A4/5.0

Scored across 2 tools

Disambiguation5/5

fancy_text and zalgo_text have clearly distinct outputs: one maps text to Unicode font variants, the other adds combining glitch marks. An agent can easily choose based on whether the user wants styled readable text or creepy zalgo text.

Naming Consistency5/5

Both tool names follow the same predictable snake_case pattern of [output-style]_text. There is no mixing of conventions or verb styles.

Tool Count4/5

Two tools is slightly below the typical 3-15 range, but it fits this narrowly scoped server: one tool for fancy Unicode fonts and one for zalgo/glitch text. Each tool earns its place without redundancy.

Completeness4/5

The surface covers both core transformations, with style selection, intensity controls, deterministic seeds, and renderability estimates. Minor gaps exist, such as no explicit tool for listing styles or stripping zalgo marks, but core workflows are covered.

Available Tools

2 tools
fancy_textStyle text with Unicode fontsA
Read-only
Inspect

Convert text to Unicode "fonts" (bold, italic, cursive, gothic, bubble, small caps, wide, strikethrough and more). Pass style for one, or omit it for all 17.

NameRequiredDescriptionDefault
textYes
styleNo

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely non-obvious behavior: omitting `style` broadcasts to all 17 variants, which materially changes the call and output volume.

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?

Two dense sentences with the core behavior and the parameter shortcut front-loaded. Nothing is wasted, and the parenthetical style list is compact.

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?

With no output schema, the description should clarify the return shape, especially for the omit-style case (one string per style, a map, or a concatenation) — that gap is meaningful for an agent parsing results. It also omits the input length limit, so the definition is adequate but not complete.

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 description coverage is 0%, so the description must carry the load; it does explain the `style` single-vs-omit semantics, which is the key meaning. It says nothing about `text` being required, its 500-character cap, or how the enum values map to the listed style names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ("Convert text to Unicode fonts") and enumerates representative styles, so the transformation is unambiguous. It does not distinguish itself from the sibling zalgo_text, which is the only remaining ambiguity.

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?

"Pass `style` for one, or omit it for all 17" gives clear invocation guidance for the parameter modes. However, it never says when to choose this tool over zalgo_text, nor any exclusion or context for use.

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

zalgo_textMake zalgo glitch textA
Read-only
Inspect

Turn text into creepy zalgo / glitch text with combining marks above, through and below each letter. Use intensity (light, medium, heavy) or exact 0-100 above/mid/below. Same seed gives the same output. Returns a renderability estimate: heavy text may get trimmed on some apps.

NameRequiredDescriptionDefault
midNo
seedNoOptional, for repeatable output.
textYes
aboveNo
belowNo
intensityNomedium

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish read-only and closed-world behavior, but the description adds genuinely new traits: deterministic output via `seed` and a renderability caveat that heavy text may be trimmed by some apps. The only gap is it doesn't clarify the response shape of the renderability estimate beyond that warning.

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?

Three tight sentences with no filler: purpose first, then parameter selection, then determinism and the output caveat. Every clause carries actionable information.

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 six-parameter, read-only transform tool with no output schema and sparse schema descriptions, this is nearly complete: it covers the presets, exact channels, seed behavior and output caveats. Missing only the input length limit and a per-channel explanation.

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?

Schema description coverage is only 17%, so the description carries most of the burden — and it does, explaining the light/medium/heavy preset, the 0-100 ranges for `above`/`mid`/`below`, and the repeatability role of `seed`. It omits the 500-character cap on `text` and doesn't distinguish the three positional channels beyond the opening sentence.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource — turn text into zalgo/glitch text with combining marks above, through and below each letter — which is concrete and unambiguous. It does not explicitly contrast with the sibling `fancy_text`, so an agent must infer the difference (glitch/zalgo vs. stylized fonts) from the wording alone.

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 explains how to choose between the preset `intensity` and exact `above`/`mid`/`below` values, which is useful invocation guidance. However, it offers no guidance on when to pick this tool over `fancy_text`, and no exclusions or prerequisites are stated.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 2 tool updates
    • First observedfancy_text
    • First observedzalgo_text

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