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Tetrees AI

Accept Tetrees AI Pack seller terms

accept_ai_pack_terms

Record the current account agreement required before creating, uploading, auditioning, or publishing a pack.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmationYes

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

The annotation indicates a non-read-only, non-destructive operation. The description says 'record' which implies a state change, but does not disclose details like the exact confirmation value required or potential errors if already accepted. It adds some context about being a prerequisite, but not much beyond the annotation.

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 concise sentence that front-loads the action and includes the prerequisite context without extra fluff.

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?

Provides the tool's purpose and usage context, but omits explanation of the confirmation parameter and any details about the recording effect or failure modes. For a simple action, it's adequate but not complete.

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

Parameters2/5

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

The schema defines a single 'confirmation' parameter with a const value, but the description does not explain its purpose or that the exact string must be passed. The agent must infer from the const value alone, leaving ambiguity.

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?

Clearly states the tool records the account agreement, and specifies it is a prerequisite for creating, uploading, auditioning, or publishing packs, distinguishing it from those operations.

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

Usage Guidelines5/5

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

Explicitly states when it is required: before creating, uploading, auditioning, or publishing a pack, giving clear guidance on when to invoke it.

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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TDQS

B3.1/5.0
Disambiguation4/5

Most tools are clearly distinct by action and resource, though several clusters (accept/propose/select/list growth, prepare/execute/run) require careful reading of descriptions to avoid confusion.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern, with clear action prefixes and descriptive resource nouns.

Tool Count2/5

With 26 tools, the set exceeds the recommended range and feels heavy, even though the domain covers publishing, runtime, growth, and reporting workflows.

Completeness4/5

The toolkit covers the main AI pack lifecycle—authoring, publishing, acquisition, running, searching, and reporting—but lacks explicit delete/revoke operations for drafts or entitlements.

Resources