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demeet2k

Athena MCP Server

by demeet2k

athena_mck_oracle_decode

Decode a caller-supplied codebook by deterministically selecting the matching interpretation from a given sample or seed. Use for symbolic-only mapping, not factual predictions.

Instructions

OSD: deterministically select/decode a caller-supplied codebook from explicit sample/seed; symbolic-only, no factual prediction or high-stakes authority.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
queryYes
sampleNo
codebookYes
use_caseNo
Behavior3/5

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

With no annotations, the description carries the transparency burden. It discloses deterministic behavior and symbolic-only boundaries, which are useful. However, it does not state whether the tool is read-only, modifies state, or describe error/edge-case behavior, leaving important operational traits unspecified.

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 acronym and core action. Every phrase contributes: deterministic selection, codebook source, sample/seed dependency, and the symbolic-only caveat. No redundancy or filler.

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?

The tool has a complex input schema (nested codebook objects, enums) and no output schema or annotations, yet the description only covers purpose and boundaries. It omits the output format, use_case behavior, query semantics, and codebook construction guidance, leaving an agent under-equipped to invoke the tool correctly in varied contexts.

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 does mention 'explicit sample/seed' and 'caller-supplied codebook', covering the key inputs. But it leaves 'query' and 'use_case' unexplained—both are in the schema but their purpose and interaction with the decode behavior are not clarified.

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

Purpose4/5

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

The description identifies a specific operation ('deterministically select/decode'), a clear resource ('caller-supplied codebook'), and the governing inputs ('explicit sample/seed'). It also distinguishes itself from siblings by emphasizing 'symbolic-only' and 'no factual prediction,' though the unexplained 'OSD' acronym adds minor ambiguity.

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?

The description provides clear context: use when deterministically selecting/decoding a symbolic codebook from explicit sample/seed inputs. It also gives an explicit exclusion ('no factual prediction or high-stakes authority'), which helps the agent avoid misuse. However, no alternative tools are named, and there is no explicit 'when not to use' beyond the high-stakes caveat.

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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