SymKit

Overview Schema Source Related Servers Discussions Admin

register_symbol

Define a symbol's meaning, domain, unit, assumptions, and aliases to establish its semantic context for symbolic operations.

Instructions

    🏷️ Register the semantic meaning of a symbol in the current session.

    Args:
        name: Symbol name (e.g., "R", "hbar", "k")
        meaning: Human-readable meaning (e.g., "Universal gas constant")
        domain: Domain this meaning belongs to
        unit: Default physical unit
        assumptions: Common assumptions (e.g., ["positive"])
        aliases: Alternative names for this symbol

    Returns:
        Registration result

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>",
      "meaning": "<meaning>"
    },
    "name": "register_symbol"
  }
}

Input Schema

Name	Required	Default
`name`	Yes
`unit`	No
`domain`	No	general
`aliases`	No
`meaning`	Yes
`assumptions`	No

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Jul 8, 2026

TDQS

A4.1/5.0

Behavior3/5

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

No annotations are provided, so the description bears full burden. It states that registration happens in the current session and returns a result, but does not disclose whether it overwrites existing symbols, error handling, or idempotency.

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 well-structured with sections for Args and Returns, uses an emoji for visual cue, and is concise with no unnecessary words.

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?

The description covers the tool's purpose, parameters, and session context. It could mention whether duplicate registrations overwrite or error, but overall is adequate for an output schema that documents return values.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description provides detailed explanations for all 6 parameters, including examples for name (e.g., 'R', 'hbar') and meaning, adding significant value over the bare schema.

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 starts with a clear verb 'Register' and resource 'semantic meaning of a symbol in the current session', distinguishing it from sibling tools like lookup_symbol or assume.

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 that this tool is for registering a new symbol or meaning, but does not explicitly state when to use it vs. alternatives like lookup_symbol or when not to use it.

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