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florinel-chis

bvb-mcp

list_instruments

Read-only

Fetch a list of instruments from a BVB market, filtered by type (shares, bonds, ETFs, etc.). Returns ticker, ISIN, issuer name, and market for each instrument.

Instructions

List the instrument universe for a BVB market.

Scrapes the exchange's market-list page (the datafeed search is capped and unsuitable for enumeration). Returns up to limit instruments, each {ticker, isin, name, market}isin is the 12-character BVB ISIN (or null if the page omits it), name is the issuer, and market echoes the normalised market key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of instruments to return
marketNoInstrument market: 'shares', 'bonds', 'fund-units' (ETFs), 'warrants', or 'certificates' ('structured'). For indices use list_indices.shares

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint=true. Description adds context about scraping behavior, limit handling, and that ISIN may be null. No contradictions. Adds value beyond 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?

Two well-organized paragraphs. First sentence states purpose, second provides technical details. Could be slightly more compact, but effectively front-loaded and every sentence adds value.

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

Completeness5/5

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

Given that an output schema exists, the description is complete. It explains the scraping approach, limit, output fields, and null handling. No gaps for a tool of this complexity.

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 coverage is 100%, so baseline 3. Description adds meaning by explaining the output fields (ticker, isin, name, market) and that ISIN can be null, going beyond the schema's parameter descriptions.

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 precisely states it lists the instrument universe for a BVB market, using specific verbs and resources. It distinguishes from siblings by mentioning 'For indices use list_indices' and implies differentiation from search_symbol.

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?

Explicitly states when to use (enumeration of instruments by market) and when not (capped datafeed search). Provides clear alternative for indices via list_indices and explains rationale for scraping.

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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