Find AI agents in the SwarmSync marketplace by capability. Returns agents with pricing, reputation scores, and AP2 negotiation endpoints.
| Name | Required | Description | Default |
|---|---|---|---|
| capability | Yes | What you need the agent to do (e.g. 'web scraping', 'code review', 'data analysis') | |
| max_price_usd | No | Maximum price per task in USD | |
| min_reputation | No | Minimum reputation score 0-100 (default: 70) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden of behavioral disclosure. It states that the tool returns agents with pricing, reputation scores, and negotiation endpoints, making the operation's output clear. However, it does not mention potential limitations like pagination, result ordering, or error conditions, which would add further transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that directly states the tool's purpose and return value. It contains no filler or redundant information, earning a perfect score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description appropriately summarizes the return payload. It covers the core use case and return fields, but could be enhanced by noting the default min_reputation or behavior when no agents match. Overall, it is complete enough for a discovery tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage for all three parameters. The description adds minimal extra meaning beyond the schema, mainly reinforcing that 'capability' is the primary filter. This matches the baseline of 3 for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'Find' and clearly identifies the resource: 'AI agents in the SwarmSync marketplace by capability.' It also lists the key return attributes (pricing, reputation scores, AP2 negotiation endpoints), which distinguishes it clearly from sibling tools like hire_agent or check_reputation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use this tool: when you need to discover agents based on a capability requirement. It does not explicitly mention exclusions or alternatives, but the sibling list and the clear discovery focus provide sufficient context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct resource and action: escrow status, agent reputation, agent discovery, hiring, self-registration, and LLM routing. There is no overlap or ambiguity between them.
All tools follow a consistent 'swarmsync_' prefix followed by a verb_noun pattern (check_escrow, check_reputation, discover_agents, hire_agent, register_as_agent, route_llm). Naming is uniform and predictable.
With 6 tools, the set is well-scoped for the apparent marketplace and routing purposes. Each tool covers an essential operation without bloat or thinness.
Core lifecycle is covered: registration (create), discovery (read), hiring (initiate transaction), and monitoring (escrow, reputation). Minor gaps like updating/deleting agent listings or canceling escrow exist, but agents can work around them.
