massive-mcp

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list_tickers

Find active financial tickers by free-text search across markets like stocks, crypto, forex, and indices. Supports pagination and filtering.

Instructions

Search/list tickers in the Massive reference universe.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_tickers"
  }
}

Input Schema

Name	Required	Description	Default
`search`	No	Free-text search (e.g. "apple").
`market`	No	"stocks", "otc", "crypto", "fx", "indices". Default "stocks".	stocks
`active`	No	Only currently-active tickers. Default true.
`limit`	No	Max rows. Default 50.
`cursor`	No	Pagination cursor.

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0May 8, 2026

TDQS

B3.3/5.0

Behavior3/5

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

No annotations provided, so description must convey behavior. It implies a read operation but omits details like pagination, rate limits, or authentication needs. The schema hints at pagination, but the description does not explicitly state it.

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?

Single sentence, to the point, with no wasted words. Ideal length for a list tool.

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?

Output schema exists, so return values are covered. However, the description lacks contextual details like filtering behavior or what 'Massive' means, which could help agents decide when to use this tool.

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%, so the description adds no additional parameter context. Baseline score of 3 is appropriate as the schema already provides parameter details.

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?

Description clearly states 'Search/list tickers' with a verb+resource structure. It distinguishes from sibling tools like get_* functions and other list_* tools, though the phrase 'Massive reference universe' is vague.

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 such as get_aggregates or list_exchanges. The description does not specify prerequisites or typical use cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.