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Athena MCP Server

by demeet2k

athena_frontier_hydrate

Reduces Git SCHED V3 state into FRONTIER_PACKET_V1 and binds it to the prompt-stack digest, keeping the two distinct for accuracy.

Instructions

Reduce exact Git-resident SCHED V3 objective/run state into FRONTIER_PACKET_V1 and bind it to the current prompt-stack digest without conflating the two.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskNo
fetchNo
remoteNo
profileNo
source_refNo
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 reveals that the tool performs a transformation and binding while explicitly avoiding conflation of two states, which is a useful behavioral nuance. However, it does not state whether the operation is read-only, modifies state, requires specific permissions, or has side effects, leaving the safety and impact profile unclear.

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 dense sentence that front-loads the core action ('Reduce exact Git-resident SCHED V3 objective/run state into FRONTIER_PACKET_V1') and includes a meaningful qualifier ('without conflating the two'). There is no redundancy or wasted words, earning a high score for conciseness, though the density of jargon may slightly impair readability.

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 (5 unstructured params, no output schema, no annotations), this description is insufficiently complete. It lacks parameter explanations, expected return values, and any information about prerequisites or side effects. While it captures the core transformation, it leaves critical gaps that prevent an agent from reliably invoking the tool without additional context.

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% for 5 parameters, and the description does not mention any of the parameter names ('task', 'fetch', 'remote', 'profile', 'source_ref') or explain how they map to the described action. The concepts of 'Git-resident' and 'prompt-stack' hint at possible meanings, but there is no concrete mapping, making it impossible for an agent to infer parameter syntax or purpose from the description alone.

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 identifies the tool's action: reducing exact Git-resident SCHED V3 objective/run state into FRONTIER_PACKET_V1 and binding it to the current prompt-stack digest. This distinguishes it from sibling tools like athena_hydrate or athena_prompt_hydrate by mentioning the specific 'FRONTIER_PACKET_V1' and 'prompt-stack digest' resources. However, heavy jargon without explanation (e.g., 'SCHED V3', 'FRONTIER_PACKET_V1') makes it less immediately transparent, so it does not achieve a perfect 5.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention any conditions, enabling scenarios, or exclusions, nor does it name sibling tools for comparison. The only hint is the verb 'Reduce... bind...', which implies a specific use case but offers no explicit decision criteria.

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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