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groTAX by Grovisor

groTAX: CT compliance health-check

grotax_health_check
Read-onlyIdempotent

Run the Grovisor CT reviewer red-flag checklist (SBR, free zone/QFZP, TP disclosure and Local/Master File, connected-person pay, related-party loans, entertainment, fines, interest cap, loss continuity, audit threshold, exempt income). Pass the answers you know; call grotax_list_health_questions first for the keys and allowed values. Returns findings ranked High → Low.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
answersYesAnswers keyed by question id: revenueBand, sbrElected, freeZone, qualifyingAnalysis, auditedFS, mneGroup, rptLarge, cpPayments, tpDisclosure, ownerPayBenchmarked, rpLoansNoInterest, entertainment, entertainmentSplit, fines, netInterest, taxLosses, ownershipChanged, dividends

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description adds two behavioral facts: partial answers are tolerated and results come back ranked High → Low, which is real value in the absence of an output schema. It still says nothing about how scoring or ranking is derived, so it is useful but not rich.

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?

Front-loaded with the action, followed by the prerequisite and the return-shape note; every clause is functional. The long parenthetical domain list is dense but each item maps to real checklist coverage rather than filler, so the size is defensible though slightly heavy.

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 1-parameter, deeply nested tool with no output schema, the description supplies the prerequisite call, the partial-answer allowance and the returned ordering, which is most of what an agent needs. It stops short of describing the finding structure or severity semantics, a minor gap given the otherwise complete input documentation.

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 100% and all 18 nested answer fields carry their own descriptions and allowed values, so the schema does the heavy lifting and the baseline is 3. The description only adds the routing instruction to fetch keys/allowed values from grotax_list_health_questions, which is meta-guidance rather than new per-parameter meaning.

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

Purpose5/5

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

States a specific verb and resource ('Run the Grovisor CT reviewer red-flag checklist') and enumerates the exact domains covered (SBR, free zone/QFZP, TP disclosure, interest cap, loss continuity, etc.), so an agent knows precisely what this tool evaluates. It also distinguishes itself from the sibling grotax_list_health_questions by assigning them different roles (input discovery vs. review execution).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit operational guidance: 'Pass the answers you know' signals partial input is acceptable, and 'call grotax_list_health_questions first for the keys and allowed values' establishes a concrete call ordering with a named alternative. Nothing about when to invoke this vs. a sibling 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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