Get AgentFarm run status
agentfarm_get_run_statusReturns queued, running, succeeded, or failed status for an authenticated run.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| run_id | Yes | AgentFarm run identifier. |
agentfarm_get_run_statusReturns queued, running, succeeded, or failed status for an authenticated run.
| Name | Required | Description | Default |
|---|---|---|---|
| run_id | Yes | AgentFarm run identifier. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the description adds limited behavioral context (returns status values). It mentions 'authenticated run' but does not elaborate on error handling or side effects beyond what annotations cover.
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?
A single sentence conveys all essential information without waste. It is front-loaded with the key verb and result types.
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 simple status check with one required parameter and no output schema, the description covers the bare minimum. However, it lacks details about the return format, potential error cases, or additional fields (e.g., timestamps). Slightly incomplete given the lack of an output schema.
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% with run_id described as 'AgentFarm run identifier.' The description adds no extra parameter meaning; it only mentions 'authenticated run' which is context but not parameter-specific. Baseline 3 applies.
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 clearly states it returns one of four statuses (queued, running, succeeded, failed) for an authenticated run. It specifies the resource (run) and verb (get status), and distinguishes from siblings like agentfarm_get_run_result and agentfarm_create_run.
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 usage for checking run progress but does not explicitly state when to use this tool versus siblings (e.g., agentfarm_get_run_result for results). No guidance on prerequisites or exclusions is provided.
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 operation: agent metadata, create, cancel, status polling, and result retrieval. The status and result tools are clearly separated since one returns lifecycle state and the other returns final artifacts.
All tools share the agentfarm_ prefix and mostly follow a clear verb_object pattern (cancel_run, create_run, get_run_status, get_run_result). agentfarm_agent_info is a minor deviation because it uses a noun phrase rather than a verb, but it is still predictable and consistent with the overall style.
Five tools is well-scoped for an async run lifecycle: create, cancel, check status, fetch result, and inspect agent metadata. There is no unnecessary bloat or missing essential action.
The tool set covers the full async task lifecycle from creation through cancellation, status polling, and result retrieval. The agent info call rounds out the surface for discovering the agent's identity and pricing. No critical operations appear to be missing.