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demeet2k

Athena MCP Server

by demeet2k

athena_rehydration_advance

Verifies checkpoint ancestry and observed passes, persists cycle state, rehydrates new Git head, and compiles the next self-prompt for continuation.

Instructions

After an agent completes the current self-prompt and commits substantive work, verify exact checkpoint ancestry and observed pass receipts, persist the cycle, rehydrate the new Git head, and compile the next self-prompt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actorNo
remoteNo
loop_idYes
completionYes
shared_remote_modeNo
allow_no_git_changeNo
expected_state_digestYes
expected_prompt_digestYes
expected_checkpoint_headYes
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 transparency burden. It discloses a sequence of state-mutating actions (verify, persist, rehydrate, compile), giving insight into side effects. However, it omits failure modes, behavior on verification mismatch, and whether the operation is destructive or reversible, leaving significant ambiguity.

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 with no wasted words. It is front-loaded with the trigger condition and packs the main actions into a compact sequence. While it could benefit from list formatting for readability, it remains appropriately concise for a high-level summary.

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 (nested completion object, required digests, no output schema, no annotations), the high-level summary is insufficient. An agent cannot infer how to build the completion payload, what 'observed pass receipts' means, what the expected digests represent, or what the tool returns. Sibling tools imply a detailed protocol that this description fails to convey.

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?

With 0% schema description coverage and 9 parameters, the description must compensate but does not. It never references parameter names, fails to explain expected_checkpoint_head, expected_state_digest, or expected_prompt_digest, and provides no guidance on constructing the nested 'completion' object. The only indirect hints are 'verify checkpoint ancestry' and 'pass receipts,' which are not mapped to specific fields.

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 role: advancing the rehydration cycle after a completed self-prompt. It lists specific actions (verify ancestry/pass receipts, persist cycle, rehydrate Git head, compile next prompt) that distinguish it from sibling rehydration tools, though the heavy jargon assumes domain familiarity.

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 opening clause 'After an agent completes the current self-prompt and commits substantive work' provides a clear, explicit precondition for use. It does not mention when to avoid using it or name alternatives, but the trigger condition is well-defined and adequate for most invocation decisions.

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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