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demeet2k

Athena MCP Server

by demeet2k

athena_apply_transform

Apply a transform for a subject, compare it with a target when available, and optionally persist the derived coordinate.

Instructions

Execute the newest registered T_ij for a subject using LOOKUP or the safe declarative transform DSL; compare against an independently resolved target when available and optionally persist a derived coordinate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actorNo
persistNo
dst_chartYes
src_chartYes
subject_idYes
source_valueNo
Behavior3/5

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

With no annotations, the description carries the burden of disclosing behavior. It mentions the core execution modes, conditional comparison, and optional persistence, which is useful. However, it omits return values, side effects beyond persistence, prerequisites, and error behaviors, leaving gaps for the agent.

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, dense sentence that front-loads the core action and packs in mode choices, a conditional step, and an option without wasted words. Every clause contributes significant information, making it highly concise and structured.

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

Completeness2/5

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

Given the tool's complexity (6 parameters, no annotations, no output schema), the description is too sparse. It fails to explain key parameter meanings, return values, or usage alternatives, and it does not provide enough detail for an agent to confidently invoke it in varied scenarios.

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?

Schema description coverage is 0%, so the description must compensate. It only vaguely maps to parameters: 'subject' hints at subject_id, 'persist' maps to persist, and 'derived coordinate' may relate to dst_chart or output. The required src_chart/dst_chart and optional actor/source_value are left undefined, which is insufficient.

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 clearly states the verb 'Execute' and the specific resource 'newest registered T_ij for a subject', establishing a distinct operation from siblings like athena_register_transform or athena_apply_transform_route. It also lists the method (LOOKUP or DSL) and outcomes (comparison, optional persistence), making the tool's purpose unambiguous.

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 description gives context about when the tool applies (newest registered transform, conditional comparison, optional persistence) but does not explicitly state when to use it versus alternatives or any exclusions. The guidance is implied rather than directly stated.

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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