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demeet2k

Athena MCP Server

by demeet2k

athena_hug_complete

Finalize a planned HUGINV by submitting output and a verified execution receipt, with validation against a frozen schema.

Instructions

Complete a PLANNED HUGINV with output validated against frozen output schema and a verified execution receipt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actorNo
outputYes
receiptYes
invocation_idYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose important validation behaviors (frozen output schema, verified receipt), which adds context beyond a bare 'complete' verb. However, it does not describe side effects, idempotency, failure modes, or what 'Complete' actually finalizes, leaving significant transparency gaps.

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 zero waste. It packs the verb, resource, and key validation criteria into 16 words. This is a model of conciseness.

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?

With no annotations and no output schema, the description provides a minimal but sufficient overview for a simple tool. It explains what must be provided (planned invocation, validated output, verified receipt) but omits post-completion behavior, return format, and lifecycle context. Given the sibling tool names (e.g., athena_hug_fail, athena_hug_plan), one can infer the workflow, but the description itself is thin.

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 partially does by linking 'PLANNED HUGINV' to invocation_id, 'output' to the output property, and 'verified execution receipt' to the receipt object. However, the optional 'actor' parameter is unaddressed, and the receipt's 'ref' field is not explained, so the semantics are incomplete.

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 ('Complete') and resource ('PLANNED HUGINV'), adding critical conditions ('output validated against frozen output schema and a verified execution receipt'). This clearly distinguishes it from sibling tools like athena_hug_fail (opposite action) and athena_hug_plan (creates the plan).

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 phrase 'PLANNED HUGINV' implies a prerequisite (a prior planning step) and the requirement of a 'verified execution receipt' suggests prior verification, but there is no explicit 'use this when...' or 'instead of...' language. The guidance is implied through contextual terms rather than stated directly.

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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