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AgentAnycast

AgentAnycast MCP Server

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by AgentAnycast

discover_agents

Search for AI agents by skill on a P2P network. Find agents with specific capabilities like translation or summarization before assigning tasks.

Instructions

Find AI agents on the P2P network that offer a specific skill.

Use this to search for agents before sending them tasks. For example, discover_agents("translate") finds agents that can translate text.

Args: skill: The skill to search for (e.g. "translate", "summarize", "code-review").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skillYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 adds some behavioral context (P2P network search, example usage) but omits details like search limits, timeout, or what happens if no agents found.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

The description is appropriately sized, with front-loaded purpose and a clear argument section. It is efficient but slightly wordy with the example embedded in prose.

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 simple (one parameter) and has an output schema. The description covers the essential context: what the tool does, when to use it, and the parameter meaning. Missing edge cases are minor given the complexity.

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 has 0% description coverage, so the description must compensate. It adds examples (translate, summarize, code-review) and clarifies the purpose of the skill parameter, adding meaning beyond the bare type definition.

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 it finds AI agents on a P2P network for a specific skill, using a strong verb ('Find') and specific resource. It distinguishes from siblings like get_agent_card or send_task.

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?

The description explicitly says 'Use this to search for agents before sending them tasks', providing clear context. It does not mention when not to use or alternatives, but the context is sufficient.

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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