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Helvabase — Governed response dossiers

helvabase_confirm_library_promotion

Idempotent

Approve this exact reusable answer using only the code explicitly supplied by the reviewer after reading the complete promotion. Stale answer/proof revisions fail. No approval is inferred from the conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
entryIdYes
revisionYes
projectIdYesHelvabase project/mapping ID returned by list or create dossier, never a local path.
challengeIdYes
idempotencyKeyYesUnique key for this logical mutation. Reuse exactly the same key and arguments after a timeout; never generate a new key to force a replay.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, idempotentHint=true and destructiveHint=false, so safety is covered. The description adds real behavioral detail beyond that: stale answer/proof revisions fail, approval requires the reviewer-supplied code, and no approval can be inferred from conversation context. That is meaningful extra context for a mutation tool.

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?

Three sentences, front-loaded with the core action ('Approve this exact reusable answer'), each adding a constraint rather than padding. Phrasing is slightly cryptic but nothing is wasted.

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

Completeness3/5

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

For a 6-required-param mutation with no output schema and thin schema coverage, the description covers the consent constraint and revision staleness but omits the challengeId/confirm handshake and where the code originates. An agent still lacks enough to call it correctly in edge cases.

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 coverage is only 33%: just projectId and idempotencyKey are documented in the schema. The description partially compensates by pinning 'code' to the reviewer-supplied value and tying 'revision' to staleness of answer/proof revisions, but it says nothing about entryId, challengeId, or the required challenge/confirm flow, leaving three required params unexplained.

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

Purpose3/5

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

The description states the action (approve a reusable answer) and adds the specific condition of an explicit reviewer code, but 'this exact reusable answer' and 'the complete promotion' are both vague about the resource. It never distinguishes itself from close siblings like helvabase_request_library_promotion, helvabase_apply_library_promotion, or helvabase_confirm_* counterparts, so an agent can't route confidently on name alone.

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?

It implies the confirm step happens only when a reviewer supplies a code after reading the promotion, and states 'No approval is inferred from the conversation,' which is a useful exclusion. However, it never names an alternative (request vs apply vs confirm library promotion) or states when to choose this over those siblings, so usage is left to inference.

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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