Skip to main content
Glama
anhermon

spark-ordernet-mcp

by anhermon

search_securities

Search for securities by symbol, name, or TASE number to obtain topic keys for historical price data.

Instructions

Find a security by symbol, name or TASE number. Returns topic keys usable with price_history. The platform has no search endpoint — this searches the public static instrument universe the SPA itself searches client-side. Results contain only allowlisted public security metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
Behavior4/5

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

No annotations provided, so description fully discloses behavior: searches client-side public static universe, returns only allowlisted metadata. No contradictions.

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?

Four sentences, no redundancy. Front-loaded with purpose, each sentence adds new information (destination, method, scope).

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?

Covers purpose, input, output usage, and limitations. Missing details like result ordering or pagination, but adequate for a simple search tool with two parameters.

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 0%, description partially compensates by explaining 'query' accepts symbol, name, or TASE number, but does not describe 'limit' parameter, leaving gap.

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?

Clear verb ('Find') and resource ('security by symbol, name or TASE number'). Distinguishes from siblings by specifying output topic keys used with price_history and noting platform lacks search endpoint.

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?

States when to use (lookup for price_history) and context (no other search endpoint, public universe only). Lacks explicit when-not recommendations but alternatives implied by sibling tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/anhermon/spark-ordernet-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server