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demeet2k

Athena MCP Server

by demeet2k

athena_form_simplex

Represent n-way coordination as a lazy (n-1)-simplex to avoid exponential face lattice. Use it to scale participant, task, and topic management.

Instructions

Represent n-way coordination as a lazy (n-1)-simplex without materializing its exponential face lattice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYes
topicYes
packet_refsNo
participantsYes
Behavior2/5

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

With no annotations, the description must carry the full burden of behavioral disclosure. It does add some useful context by noting the lazy evaluation and avoidance of materializing the exponential face lattice, but it fails to mention side effects, return behavior, error conditions, or any state changes, which are critical for safe invocation.

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, tightly written sentence with no filler. It front-loads the core concept ('Represent n-way coordination') and adds a meaningful efficiency detail. However, the dense mathematical terminology might reduce clarity for a general agent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations, output schema, and parameter descriptions, the description is far from complete. It does not explain return values, outcome semantics, or how the inputs map to the simplex, leaving substantial gaps for a tool with four parameters and no schema documentation.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not compensate by explaining any of the four parameters (participants, task, topic, packet_refs). The parameter names and types alone are insufficient for an agent to know what values to provide or how they relate to the simplex representation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool represents n-way coordination as a lazy (n-1)-simplex, which conveys a specific mathematical approach and distinguishes it from generic 'process' tools. However, it remains abstract and does not clearly specify a concrete operation (e.g., create, compute, transform) or how it relates to the sibling tools.

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 provided about when to use this tool versus alternatives. The description does not mention prerequisites, exclusions, or scenarios that favor this representation approach, leaving the agent without decision support.

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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