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ise_openapi_task_get

Monitor the status of an ongoing Cisco ISE task by providing its task ID. Check progress and completion state to determine when operations have finished.

Instructions

[Task] Monitor task status (GET /api/v1/task/{id})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPath parameter 'id'.
deploymentNoTarget ISE deployment: name ('RADIUS Only'), slug ('radius-only'), or number ('1' or 'Deployment 1'). Omit to use the only/default deployment. Call ise_list_deployments to see the choices.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the burden. It is a GET/monitoring call (read-only implication from the HTTP verb in the endpoint), which is somewhat transparent. However, it does not disclose what fields/states are returned, whether the task may be long-running, error behaviors, or whether repeated polling carries rate-limit considerations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with a leading bracketed label indicating the action and the endpoint. It's tightly scoped and front-loaded. It's minimal but not wasteful; no extraneous content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple monitored GET tool with 2 params (1 required), full schema coverage, and no output schema, the description is reasonably adequate. However, it lacks behavioral details like what the status response contains or how to interpret result states, which would help the agent decide whether to poll again or proceed. Given no annotations and no output schema, a bit more behavioral context would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds the deployment parameter's selection semantics (name/slug/number + default deployment behavior) in the schema itself. The description text adds no parameter detail beyond what the schema already documents, so it stays at the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the verb ('Monitor task status') and resource ('task/{id}'), clearly indicating this polls/checks the state of an asynchronous task. It's distinguishable from siblings since most siblings are ERS/OpenAPI resource CRUD or listing tools, and this uniquely addresses task status polling. However, it doesn't differentiate itself from potential task-related sibling patterns (like a task create/cancel) beyond the endpoint shown.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage during task monitoring but gives no explicit when-to-use guidance or alternative references. The deployment parameter description does point to calling ise_list_deployments to see choices, which is a useful cross-reference, but there's no guidance about when this tool is needed (e.g., after launching an async operation) versus alternatives.

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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