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Helvabase — Governed response dossiers

helvabase_define_dossier_workspace

Idempotent

Define this specific dossier from the current analysis. Preserve all original files in Snipara; reference their source IDs. Distinguish document kind from its role (complete/create/attach/information/missing), scope any supersession to clauses/lots, and keep company knowledge and strategy internal. Model opportunity, assumptions, risks and strategy as internal fields. Retain stable IDs and all existing useful contributions. Never infer complete extraction or approval. A new definition or context requires review. Use explicit responseOutline in submit_analysis and bind buyer text fields to those section IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesHelvabase project/mapping ID returned by list or create dossier, never a local path.
definitionYes
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.
contextRevisionYes
analysisRevisionYes
expectedRevisionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare this is a non-destructive, idempotent mutation (readOnlyHint=false, destructiveHint=false, idempotentHint=true). The description adds real behavioral context beyond that: preserve originals and reference source IDs, never infer complete extraction or approval, and that a new definition or context requires review. This is genuinely useful disclosure consistent with the annotations.

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 purpose is front-loaded in the first sentence, and subsequent sentences each encode a distinct rule or constraint. It is dense and somewhat stream-of-consciousness, but little is redundant, so it earns most of its length.

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 complex six-parameter mutation with deep nesting and no output schema, many domain rules are covered (IDs, layers, supersession, roles). The critical gap is the trio of required revision parameters and the idempotency semantics, which the description does not explain at all, leaving an agent without guidance on how to construct a valid revision-gated call.

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 only 33% (projectId and idempotencyKey), with 6 required params and heavy nesting, so the description is expected to compensate. It partially does by mapping semantics onto nested fields (document kind vs role, scoping supersession to clauses/lots, binding buyer text to responseSectionId, internal fields for knowledge/strategy), but the required revision-gating objects (expectedRevision, contextRevision, analysisRevision) go unmentioned.

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 opens with a specific verb and resource: 'Define this specific dossier from the current analysis,' which distinguishes it from read_dossier_workspace and create_dossier. It is clear what is being produced, though it never explicitly names the sibling it is not, so differentiation relies on inference.

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 phrase 'from the current analysis' implies the precondition for use, and the final sentence points at submit_analysis as the next step. However, there is no explicit when-to-use vs create_dossier/read_dossier_workspace guidance and no exclusions, leaving the agent to infer the operating context.

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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