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Bnm My

by io.github.pipeworx-io

Bnm Endpoint

bnm_endpoint
Read-onlyIdempotent

Call any other confirmed Bank Negara Malaysia public endpoint by path and get its raw data. Confirmed live paths: "interest-rate" (interbank/money-market deposit rates by tenor), "interest-volume" (transaction volumes by tenor), "islamic-interbank-rate", "kl-usd-reference-rate" (KL USD/MYR reference rate), "usd-interbank-intraday-rate" (intraday hi/lo). Also accepts the documented sub-path forms (e.g. "exchange-rate/USD", "opr/year/2025") if you need a path not covered by a dedicated tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesEndpoint path under https://api.bnm.gov.my/public/ — e.g. "interest-rate", "islamic-interbank-rate", "kl-usd-reference-rate". No leading slash needed.
queryNoOptional query parameters as key/value pairs, e.g. {"session":"1130","quote":"rm"}.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already provide readOnly, openWorld, idempotent, and non-destructive hints. The description adds detail about returning raw data and confirmed live paths, which aids reliability without contradicting 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?

Description is a single paragraph, efficiently stating purpose, examples, and usage notes. It front-loads the core action and provides necessary detail without verbosity.

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?

Given the tool's role as a catch-all for BNM endpoints, the description covers base URL, valid paths, and query parameter usage. It lacks specifics on error behavior or rate limits, but annotations and sibling context reduce the need for such details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 100% coverage with descriptions for both path and query. The description adds concrete examples (e.g., interest-rate, exchange-rate/USD) and clarifies formatting (no leading slash), enhancing clarity beyond the schema.

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?

The description clearly states the tool calls any confirmed BNM public endpoint by path and returns raw data. It lists multiple specific paths (e.g., interest-rate, kl-usd-reference-rate) and distinguishes itself from dedicated tool siblings.

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?

Explicitly says to use this tool for paths not covered by a dedicated tool, e.g., 'if you need a path not covered by a dedicated tool.' Provides confirmed live paths as examples, but does not explicitly state when not to use it or list alternatives.

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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TDQS

A3.8/5.0
Disambiguation2/5

Many tools occupy clearly different niches, but ask_pipeworx and ask_pipeworx_beta are currently identical, ask_pipeworx_grounded and deep_research heavily overlap the same router concept, and bet_research/polymarket_edges/polymarket_arbitrage all target similar 'find an edge' territory. An agent would need to read very long descriptions carefully to avoid selecting the wrong tool.

Naming Consistency4/5

Names are consistently lowercase snake_case and usefully grouped by prefixes like bnm_, polymarket_, and pipeworx_, which makes the set fairly scannable. However, conventions mix verb-first names (ask_, discover_, resolve_, validate_) with noun-phrase names (entity_profile, recent_alerts, recent_changes), so it is not a uniform verb_noun pattern.

Tool Count2/5

36 tools is well beyond the typical well-scoped 3-15 tool range, and the server bundles several distinct domains: BNM data, the Pipeworx research platform, prediction-market analysis, and memory/subscription management. This breadth would be better split into separate focused servers.

Completeness4/5

The BNM-specific surface is well covered, with dedicated tools for the main series plus a generic bnm_endpoint passthrough for anything else. The broader data side is also unusually complete, with routing, grounded answers, deep research, entity resolution, profiles, comparisons, and claim verification; only minor gaps remain, such as no dedicated historical endpoint for some BNM series.

Resources