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update_dashboard

Modify existing Performance Analytics dashboards in ServiceNow by updating fields like name, description, roles, and active status.

Instructions

Update an existing PA dashboard (requires WRITE_ENABLED=true)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sys_idYesDashboard sys_id
fieldsYesFields to update (name, description, roles, active, etc.)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions a permission requirement ('WRITE_ENABLED=true'), which adds some behavioral context, but fails to disclose other critical traits such as whether the update is reversible, what happens to unspecified fields, error handling, or response format. For a mutation tool with zero annotation coverage, this is insufficient.

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

Conciseness5/5

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

The description is a single, efficient sentence that front-loads the core action ('Update an existing PA dashboard') and includes a crucial prerequisite. There is no wasted verbiage, making it highly concise and well-structured.

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?

Given that this is a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral aspects (e.g., side effects, error cases), return values, and comprehensive usage context. The permission hint is helpful but insufficient for full agent understanding.

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?

The input schema has 100% description coverage, with clear documentation for both parameters ('sys_id' and 'fields'). The description doesn't add any meaningful semantics beyond what the schema already provides, such as examples of field values or constraints. Thus, it meets the baseline but doesn't enhance understanding.

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 verb ('Update') and resource ('an existing PA dashboard'), making the purpose specific. However, it doesn't explicitly differentiate from sibling tools like 'update_asset' or 'update_incident' beyond specifying the resource type, which is why it doesn't reach a perfect score.

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 provides implied usage by mentioning 'requires WRITE_ENABLED=true', which suggests a prerequisite condition. However, it doesn't offer explicit guidance on when to use this tool versus alternatives (e.g., 'create_dashboard' for new dashboards) or any exclusions, leaving some ambiguity.

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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