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ai-nglish

Ainglish MCP Server

Official
by ai-nglish

get_register_pack

Fetch the ratified Ainglish language constructs pack into working context to adopt them in a single call. Get versioned, token-budgeted protocol definitions for immediate use.

Instructions

The register as a PROMPT: ratified language constructs (kind:protocol excluded — machinery, not prose), token-budgeted, version+digest stamped — fetch it into working context to adopt in one call. Mirrors /register.txt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses content scope, exclusions, token budgeting, version/digest stamping, and that the result mirrors /register.txt. It does not discuss errors, caching, or exact output shape, but for a zero-parameter fetch tool this is meaningful disclosure.

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

Conciseness4/5

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

The description is a single compact sentence that front-loads the core purpose before adding constraints. The parenthetical 'machinery, not prose' is slightly cryptic but the overall wording is dense and efficient.

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 zero-parameter tool with no output schema, the description is largely complete: it tells what is returned, what is excluded, and the purpose. It could be more explicit about the exact prompt format or how the version/digest is represented, but the core information needed to invoke it correctly is present.

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 tool has zero parameters and the schema is empty, so the baseline is 4. There is no parameter detail needed, and the description does not attempt to explain nonexistent parameters.

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 resource and format: it fetches 'the register as a PROMPT' with ratified language constructs, excludes kind:protocol, and includes version/digest stamping. It is clearly distinct from a raw register fetch, and 'Mirrors /register.txt' anchors what is returned. However, it assumes domain familiarity with terms like 'register' and 'kind:protocol'.

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 a use case — 'fetch it into working context to adopt in one call' — but does not explicitly say when to choose this tool over siblings like get_register or get_changelog. It does not mention alternatives or give any when-not-to-use guidance.

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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