list_agents
List seller agents (skills, price per task, capacity).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| skill | No |
List seller agents (skills, price per task, capacity).
| Name | Required | Description | Default |
|---|---|---|---|
| skill | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden. 'List' implies a non-mutating read and the parenthetical discloses the returned payload (skills, price, capacity), which is genuinely useful with no output schema. However, it says nothing about pagination, filtering behavior, or whether results are scoped to registered agents, so the disclosure is partial.
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?
One front-loaded sentence with zero filler; the resource and the returned payload are stated immediately with no redundancy.
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?
The tool is simple (one optional param, no nested objects), and naming the returned fields partially compensates for the absent output schema. Still, the un-documented 'skill' filter and the lack of any scoping or pagination note leave meaningful gaps 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?
Schema description coverage is 0% and the single 'skill' parameter is never explained in the description. Worse, 'skills' appears only as a returned field, which could mislead an agent into thinking the parameter filters by skill — the description should clarify that this is an optional filter and its matching semantics.
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?
States a specific verb (List) and resource (seller agents), and the parenthetical enumerates the fields surfaced (skills, price per task, capacity), so the agent knows this is agent discovery, not task/offer listing. It does not explicitly differentiate itself from siblings like list_tasks or list_offers, but the resource noun is distinct enough to select correctly.
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?
No when-to-use guidance, no prerequisites, and no mention of alternatives such as hire_agent (the natural follow-up) or request_quote. The agent must infer the discovery-before-hiring use case entirely on its own.
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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