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ise_openapi_tacacs_policy_set_update

Update an existing Device Admin (TACACS) policy set in Cisco ISE by providing the policy set ID and modified JSON data via the Device Admin Policy Set Update API.

Instructions

[Policy: Device Admin] Device Admin - Update a policy set. (PUT /api/v1/policy/device-admin/policy-set/{id})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPath parameter 'id'.
dataYesJSON request body.
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.
Behavior2/5

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

No annotations are provided, so the description carries full burden. However, it reveals nothing about behavioral traits: no mention of whether this is a full PUT replacement semantics (though the PUT HTTP method hints at it), no mention of required permissions or auth, no mention of validation behavior or error conditions, and no return format. As a mutation tool with zero annotation coverage, this is a significant gap.

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

Conciseness3/5

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

The description is a single terse line that's front-loaded with purpose but the overall tool documentation is thin. It includes the HTTP endpoint which is useful but is essentially just restating the title. It's concise but under-specifies key aspects of behavior, so it's not 'zero waste' in a helpful sense.

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

Completeness2/5

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

For a mutation tool with a nested object parameter, no output schema, no annotations, and a fairly complex domain (TACACS policy sets), the description is inadequate. It doesn't explain the structure of the data body, doesn't disclose replacement semantics, and doesn't mention deployment context beyond what the schema already states. There's also no reference to sibling get/list tools for retrieving current state.

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 description coverage is 100%, so all 3 parameters are documented in the schema. The description adds the deployment param helpful note ('Omit to use the only/default deployment') which exists in the schema too. The 'data' param is described only as 'JSON request body' with no shape/structure detail, but since coverage is 100% baseline is 3 and the description doesn't add much beyond that.

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 clearly states the action ('Update a policy set') with the specific resource (Device Admin policy set) and even includes the REST endpoint (PUT /api/v1/policy/device-admin/policy-set/{id}). It distinguishes this from sibling tools like tacacs_policy_set_create/delete and get. It's specific but not as richly descriptive as the TDQS high examples.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives. It doesn't explain that you should first call tacacs_policy_set_get or list to obtain the id, nor does it clarify what happens to existing settings not supplied in the data body (whether it's a full replacement or partial update). No context on preconditions or exclusions.

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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