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AlgoChains

AlgoChains MCP Server

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by AlgoChains

discover_tools

Read-onlyIdempotent

Find AlgoChains tools by describing your task in natural language. Returns top relevant tools with descriptions, reducing context by 90% vs browsing all options.

Instructions

Search for relevant AlgoChains tools using natural language. Returns the top-K most relevant tools with descriptions. Use this FIRST to find which tools are available for your task — 90%+ context reduction vs listing all 533 tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language description of what you want to do
top_kNo
categoryNoFilter: trading, market_data, strategy, ml, analytics, alt_data, defi, cloud
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint. Description adds that it returns top-K relevant tools with descriptions and mentions context reduction, which aids understanding of behavior 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three concise sentences, front-loaded with purpose and usage advice. Every sentence adds value, no wasted words.

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?

For a simple search tool with 3 parameters and no output schema, the description fully explains purpose, output (top-K tools with descriptions), and efficiency benefit. No 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 67%; query and category have descriptions, top_k has default but no description. Description does not add further parameter details beyond schema. Baseline 3 is appropriate as schema does the heavy lifting.

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?

Description clearly states it searches for AlgoChains tools using natural language, returns top-K relevant tools, and advises using it first. Distinguishes from listing all tools by highlighting 90%+ context reduction.

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 instructs to use this tool FIRST to find available tools, implying the alternative of listing all 533 tools is inefficient. Provides clear context for when to use it.

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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