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suggest_agents_for_task

Find the top 3 AI agents for a task from its description and category, with confidence scores to aid selection.

Instructions

Get AI-powered agent suggestions for a task based on description and category. Returns top 3 most relevant agents with confidence scores

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesProject ID
taskCategoryNoTask category (optional)
taskDescriptionYesTask description
Behavior2/5

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

With no annotations, the description carries the burden of disclosing safety and behavioral traits. It only describes the output and 'AI-powered' nature, but does not explicitly state it is read-only, requires permissions, or has side effects, leaving behavioral transparency incomplete.

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?

The description is concise (two sentences), front-loaded with the primary action, and contains no redundant information. Every sentence serves a purpose.

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?

The tool is relatively simple with three parameters and no output schema. The description covers the output format and inputs, but lacks details on failure modes, how projectId is used, or differentiation from similar tools. It is sufficiently complete for a straightforward suggestion tool.

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?

The schema already describes all parameters (100% coverage), but the description adds value by explaining that task description and category are the basis for suggestions, connecting parameters to purpose. The mention of 'top 3 most relevant agents' gives context to the output but not the parameters themselves.

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 states the tool gets agent suggestions for a task based on description and category, and specifies it returns top 3 agents with confidence scores. This distinguishes it from sibling tools like suggest_tools_for_task.

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 explicit guidance on when to use this tool versus alternatives. The description implies usage from purpose but does not mention alternative tools or when not 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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