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Unicode Character Lookup

UnicodeCharacterLookup
Read-only

Unicode Character Lookup: Unicode Character Lookup is a Unicode lookup API that inspects any character, symbol or hex codepoint to find its decimal value, hex notation, and UTF-16 encoding. The response also identifies the character category and supplies names for emoji. (Cost: 1 credit)

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": "UnicodeCharacterLookup"
  }
}

Input Schema

NameRequiredDescriptionDefault
characterNoThe Unicode character to lookup. Supply either character or codepoint.
codepointNoThe Unicode codepoint in hex (e.g., '1F44B' or 'U+1F44B'). Supply either character or codepoint.

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description still adds real value by disclosing what the response contains (decimal, hex, UTF-16, category, emoji names) and the cost of 1 credit, which is not in any structured field. It stops short of stating behavior for invalid codepoints or when both inputs are supplied.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core sentence is efficient and front-loaded, but the opening is padded: 'Unicode Character Lookup: Unicode Character Lookup is a Unicode lookup API' repeats the name and title twice before saying anything new. The credit-cost note is well placed at the end.

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 two-optional-parameter, read-only lookup with an output schema, the description is essentially complete: input modes are clear and the returned fields are enumerated. Only the behavior on malformed or ambiguous input is left unaddressed.

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 100%, with both parameters documented including the 'either/or' relationship and hex format examples. The description adds no meaning beyond that, so the baseline 3 applies.

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?

The description states a specific verb and resource: it 'inspects any character, symbol or hex codepoint' to return decimal, hex, UTF-16, category, and emoji names. An agent knows exactly what comes back. It loses a point for not distinguishing itself from nearby siblings such as UnicodeEscapeUnescape or EmojiLookup.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance, no exclusivity condition, and no mention of when a different Unicode or emoji tool is the better choice. The only routing hint ('supply either character or codepoint') restates the schema rather than discriminating between tools.

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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