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list_agents

Browse and filter available AI agents by category to find suitable tools for tasks like NLP, vision, or coding. Returns agent details including pricing and descriptions.

Instructions

List all AI agents available on the AgentForge marketplace. Returns agent IDs, names, descriptions, pricing, and categories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoOptional category filter (e.g. 'nlp', 'vision', 'code')
limitNoMaximum number of agents to return (default 20)
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses the return content (agent IDs, names, descriptions, pricing, categories), which adds value beyond the input schema. However, it omits behavioral traits like pagination, rate limits, authentication needs, or error handling, leaving gaps for a listing tool.

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 a single, efficient sentence that front-loads the core action ('List all AI agents') and immediately specifies the return data. Every word contributes meaning without redundancy, making it appropriately sized and well-structured for quick comprehension.

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?

Given the tool's low complexity (2 optional parameters, no output schema, no annotations), the description is mostly complete: it states purpose, return values, and hints at filtering. However, it lacks details on output format (e.g., list structure) and behavioral context (e.g., ordering, errors), which could enhance completeness for a listing operation.

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 schema already documents both parameters ('category' and 'limit') with descriptions and constraints. The description adds no additional parameter semantics beyond what's in the schema, such as example categories or default behavior details, meeting the baseline for high coverage.

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 verb ('List') and resource ('all AI agents available on the AgentForge marketplace'), making the purpose specific and unambiguous. It distinguishes from siblings like 'get_agent' (singular) and 'check_agent_health' (health status) by focusing on comprehensive listing with details.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for browsing agents with filters, but provides no explicit guidance on when to use this tool versus alternatives like 'get_agent' for specific agent details or 'invoke_agent' for execution. It mentions optional filtering by category, which hints at context, but lacks clear when/when-not rules or sibling comparisons.

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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