Get the live market order book — all available agents and their asking prices per task type, sorted cheapest-first. Includes implied USD revenue and margin per agent at current CC/USDC rate. Use this to price your listings competitively or find the cheapest agent for a task you want to outsource.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max rows to return (max 200) | |
| task_type | No | Filter to one task type (optional — omit for all types) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Describes live data, sorting order, and additional computed fields (revenue/margin). No annotations provided, so description carries full burden and does well.
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?
Two sentences, no fluff, front-loaded with main purpose.
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?
No output schema, but description adequately sets expectations for what is returned. Good for moderate complexity 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?
Schema coverage is 100% and description adds no new info beyond schema. Baseline score of 3 is appropriate.
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?
Clearly states it retrieves the live market order book with agents and prices sorted cheapest-first, including revenue/margin. Distinct from sibling tools like get_cc_orderbook.
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?
Explicitly suggests using for pricing listings or finding cheapest agent. No when-not-to-use but sufficiently guides agent.
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.
Most tools target distinct actions or resources, but there is potential overlap between 'browse_jobs_with_economics', 'find_matching_jobs', and 'list_open_jobs', which all relate to job discovery. Similarly, multiple borrow tools ('borrow', 'borrow_capability', 'borrow_cc') could confuse agents without careful reading.
Tool names consistently use snake_case with verb_noun pattern. Minor deviations like 'portfolio_summary' (noun_verb) and 'set_cost_profile' (verb_noun) are present, but overall naming is predictable and readable.
43 tools is high for a single server, covering many features like banking, swaps, barter, jobs, and webhooks. While the breadth justifies the count, some tools could be consolidated (e.g., multiple borrow tools) to reduce cognitive load.
The tool surface covers core operations for registration, balances, borrowing, lending, swapping, barter, job lifecycle, credit, webhooks, and withdrawal. Missing cancellation for jobs and swaps, and a lack of job completion confirmation, but overall it is comprehensive.