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Tetrees AI

Prepare a user-controlled local AI Pack run

prepare_local_ai_pack_run
Read-only

Return a host-readable execution plan for connecting this Pack to explicitly selected, Agent-AVCP-auditioned local skills, MCP tools, resources, prompts, or HTTPS APIs. Tetrees does not execute client extensions on its hosted servers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYes
productIdYesTetrees AI Pack product id
approvedWriteMethodsNoExact extensionId.methodId values approved for this plan only.
selectedExtensionIdsNo

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Description explicitly says it does not execute client extensions, reinforcing readOnlyHint; also clarifies output is a plan with no side effects.

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 focused sentences, no redundant wording, front-loads core purpose and safety clarification.

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?

Adequate for a simple 4-param read-only tool; missing output format and param detail, but overall enough to invoke correctly.

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 covers productId and approvedWriteMethods, but task and selectedExtensionIds lack descriptions; description references selection and approval generally but doesn't define task or extension ID format beyond 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?

Clearly states it returns a host-readable execution plan for connecting a Pack to selected local extensions; explicitly notes Tetrees does not execute, which differentiates from run tools.

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

Usage Guidelines4/5

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

Implies usage after explicit selection and audition and that execution is not performed, but doesn't explicitly name sibling alternatives like run_ai_pack or execute_client_extension; context is clear but not fully explicit.

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