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Helvabase — Governed response dossiers

helvabase_read_requirement_coverage

Read-onlyIdempotent

Read source extraction, requirement, answer, proof, owner and review states separately, with exact revision links and produced target zones where available. Optional previousAnalysisRevision reports added/changed/removed requirements without rewriting history. Counts never prove exhaustive compliance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
projectIdYesHelvabase project/mapping ID returned by list or create dossier, never a local path.
previousAnalysisRevisionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already establish readOnlyHint, openWorldHint, idempotentHint, and non-destructiveness. The description adds meaningful detail beyond those: exact revision links, produced target zones, non-rewriting diff behavior, and the open-world caveat about counts. There is no contradiction 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two dense sentences front-load the core read scope, then add the optional revision parameter and the key interpretive caveat. There is no filler, repetition of schema details, or unnecessary context.

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

Completeness4/5

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

For a read-only tool with rich annotations and a schema covering validation constraints, the description supplies the essential behavioral context: what states are read, what revision-related reporting exists, and how counts should be interpreted. Pagination behavior is left implicit, but that is a minor gap given standard limit/offset parameters and no output schema.

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 low at 25%, with only projectId documented. The description helps with previousAnalysisRevision by explaining its diff-reporting behavior, but it does not explain limit or offset semantics beyond what their names and schema defaults imply. This partial compensation is useful but not complete.

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 names a specific read operation and enumerates the state types it covers: 'source extraction, requirement, answer, proof, owner and review states separately.' It is clearly a read tool for requirement-coverage-related data, though it does not explicitly distinguish itself from sibling read tools such as helvabase_read_document_coverage or helvabase_read_compliance_matrix.

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 description clearly conveys what the tool reads and when the previousAnalysisRevision parameter is relevant: it 'reports added/changed/removed requirements without rewriting history.' It also warns that 'Counts never prove exhaustive compliance,' which helps an agent interpret results. However, it does not explicitly state when to prefer this tool over alternatives or provide exclusions.

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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