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TetreesEX

Tetrees AI

Official
by TetreesEX

Search Tetrees AI Packs

search_ai_packs

Search the published agent-asset exchange by task or capability. Browse Tetrees AI to find reusable AI packs that match your needs.

Instructions

Search the published agent-asset exchange by task or capability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo

Schema Changelog

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

  1. First observedv2.2.1

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral burden. 'Search' implies a read-only operation, and 'published exchange' clarifies scope, but the description does not explicitly confirm non-mutation, authentication expectations, or what kind of results are returned.

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 a single, front-loaded sentence with no filler. Every word adds meaning, and it is appropriately sized for a simple search tool.

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?

For a low-complexity search tool with two optional parameters, the core behavior is described. However, with no output schema and no annotations, the description omits details about return shape, result count semantics, and whether the search is fuzzy, exact, or ranked. This leaves some inference to the agent.

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 0%, so the description must compensate. It adds meaning for the query parameter by stating it should contain a task or capability, but it does not describe the limit parameter or how results are ordered/filtered. The limit is at least self-explanatory from its name and schema constraints.

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 uses a specific verb ('Search'), identifies a distinct resource ('published agent-asset exchange'), and states the search dimension ('by task or capability'). This clearly differentiates it from siblings like list_owned_ai_packs and get_ai_pack_runtime_profile.

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?

No guidance is given about when to use this tool versus alternatives such as list_owned_ai_packs or get_ai_pack_submission_readiness. The description implies a browsing/search use case but does not state exclusions or direct the agent to a more appropriate sibling.

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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