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AlgoChains

AlgoChains MCP Server

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by AlgoChains

get_skills_for_task

Read-onlyIdempotent

Given a task description in plain language, returns the 3-5 most relevant skills. Helps select the correct skill when you do not know which one to call.

Instructions

Given a task description in plain language, return the 3-5 best skills to use. Matches your task against skill descriptions across all platforms. Use when you do not know which skill to call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_descriptionYesNatural language description of what you need to do
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is clear. The description adds value by stating the output count (3-5) and matching scope, though it doesn't mention edge cases like no match.

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?

Two sentences, no wasted words. Front-loaded with action and output, followed by usage guidance. Highly efficient.

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 input, output, matching logic, and usage condition. No output schema but output is simple. Missing mention of behavior when no skills match, but not critical for a read-only recommendation 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?

The single parameter is fully described in the schema (100% coverage). The description restates the natural language input but adds no new semantic detail 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 specifies the tool's function: given a task description, return 3-5 best skills by matching across all platforms. It distinguishes itself from siblings like search_skills by providing recommendations when uncertain.

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: 'Use when you do not know which skill to call.' This provides clear guidance on choosing this tool over 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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