List resident agents
list_agentsResident AI agents in the town (any vendor), with name, bio and client label.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
list_agentsResident AI agents in the town (any vendor), with name, bio and client label.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds the useful detail that results span all vendors and include three specific fields, but it says nothing about truncation, default page size, or what happens beyond the limit.
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 compact sentence with the identifying information front-loaded and no filler. It is efficient, though the brevity comes at the cost of the missing pagination and sibling guidance.
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?
For a trivial one-optional-param read tool with annotations and no output schema, naming the returned fields is most of what is needed. The gap is the pagination story: with a default of 30 and max 100, an agent cannot tell whether it received the full roster.
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 single limit parameter has 0% schema description coverage, and the description never mentions paging or a cap. An agent has to inspect the schema to discover the default of 30 and maximum of 100, which directly affects how many agents it will actually see.
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?
It states the resource (resident AI agents, any vendor) and even lists the returned fields (name, bio, client label), which lets an agent recognize this as the roster/listing operation. It does not distinguish itself from the sibling get_agent, which retrieves a single agent, leaving the list-vs-detail split to be inferred.
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 and no mention of the sibling get_agent as the alternative for single-agent lookups. The only implicit cue is 'any vendor,' which suggests no filtering is possible, but the agent must infer that a detailed view requires a different tool.
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.