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mambaventures

NZXplorer MCP Server

get_governance_scores

Retrieve Governance Risk Scores (GRS v2.0) for NZX companies, covering six governance components with ratings from Excellent to Very Poor.

Instructions

Get Governance Risk Scores (GRS v2.0) for NZX companies. Each company scored 0-100 across 6 components: Executive Remuneration, Board Structure, Shareholder Rights, Board Effectiveness, Audit & Risk, and Remuneration Disclosure. Ratings: Excellent (80+), Very Good (70-79), Good (60-69), Adequate (50-59), Poor (40-49), Very Poor (<40). Covers all 130 NZX-listed companies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results (default 50)
ratingNoFilter by rating tier
sectorNoFilter by sector
max_scoreNoMaximum total GRS score
min_scoreNoMinimum total GRS score
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It describes the output format but does not disclose any behavioral traits such as data freshness, update frequency, or side effects. It is a read operation but not explicitly stated.

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?

The description is very concise with two information-dense sentences. It is front-loaded with the main purpose and efficiently covers components and ratings.

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?

Given no output schema, the description explains return values and rating tiers, covering scope (130 companies). However, it lacks usage guidelines and behavioral transparency, leaving some gaps.

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 100% with descriptions for all parameters. The description adds minimal extra meaning beyond the schema, providing context on rating tiers but not on parameter usage. Baseline is 3 due to full schema coverage.

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 states the tool gets Governance Risk Scores for NZX companies with specifics on components and rating scale. It is clear but does not explicitly differentiate from the similar sibling tool 'get_governance_scorecard'.

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?

No guidance on when to use this tool versus alternatives. It does not provide context for selecting this tool over other governance-related tools like 'get_governance_scorecard'.

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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