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demeet2k

Athena MCP Server

by demeet2k

athena_pheromone_reinforce

Strengthen or weaken a routing pheromone by analyzing evidence, reuse, novelty, staleness, and contradiction observations.

Instructions

Persistently reinforce or evaporate one artifact/routing pheromone using evidence, reuse, novelty, staleness and contradiction observations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ageNo
actorNo
route_keyYes
deposit_gainNo
observationsYes
evaporation_rateNo
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It states 'persistently reinforce or evaporate,' which indicates a mutation with persistence side effects, but it fails to explain whether the operation is reversible, what permissions are needed, or what happens to existing pheromone values. The description provides minimal transparency about consequences.

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, front-loaded sentence that wastes no words. It efficiently conveys the core action and the nature of the observations. The only slight issue is the word 'persistently,' which may be ambiguous, but overall it is concise and well-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?

For a mutation tool with 6 parameters, no annotations, no output schema, and a nested object, this description is far too sparse. It does not explain parameter semantics, side effects, return values, or how to distinguish this tool from its many siblings. An agent would struggle to invoke it correctly based only on this description.

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 for explaining parameters. It adds some context for 'observations' by listing evidence, reuse, novelty, staleness, and contradiction, but leaves deposit_gain, evaporation_rate, age, actor, and route_key entirely unexplained. This is insufficient for a 6-parameter tool.

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 clearly states the action (reinforce or evaporate) and the resource (artifact/routing pheromone), using specific terms like 'evidence, reuse, novelty, staleness and contradiction observations.' However, it does not explicitly differentiate from sibling tools such as athena_pheromone_adaptive_reinforce or athena_pheromone_multiscale_reinforce, so it misses full sibling distinction.

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 mention of specific observation types implies this tool is used when you have those observations and want to update a single pheromone. But there is no explicit guidance on when to use it versus alternatives, no prerequisites, and no exclusions, leaving the usage context only implied rather than clear.

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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