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getCurrentOncallForEntity

Retrieve the current on-call personnel for an entity in real-time. Shows who is actively responsible for incident response, including primary and secondary on-call, contact information, and rotation schedules

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextYes Explain why you're invoking this tool now and how its output will be used. Then state how this call supports your *overall objective* and fits into your broader plan across all tool calls (e.g., why this tool vs. others, and what step it unblocks). Never share any personal details or sensitive information.
tagOrIdYesEntity identifier - can be a tag or CID

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the burden of disclosing behavior. It indicates a read-only operation ('Retrieve') and provides useful context by stating 'in real-time' and specifying the output contents (primary/secondary on-call, contact info, rotation schedules). This goes beyond a minimal label but could further mention caching or absence handling.

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, well-structured sentence that front-loads the primary action and then adds concise clarifying details. Every phrase contributes to understanding the tool's function without redundancy.

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

Completeness4/5

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

The description is sufficient for a simple read-only tool with fully documented parameters. It covers the key output areas (personnel, contact info, rotation) and the real-time nature. The lack of an output schema is compensated by the description's detail, but it could mention error cases or prerequisites for 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?

Both parameters are fully described in the schema (100% coverage), including the dual meaning of 'tagOrId' and the purpose of 'context'. The tool description adds no extra parameter semantics, so the baseline of 3 applies since the schema does the heavy lifting.

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

Purpose5/5

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

The description clearly states a specific verb ('Retrieve') and resource ('current on-call personnel for an entity'), and it distinguishes itself from sibling tools by exclusively addressing on-call personnel. The additional detail about primary/secondary and contact information reinforces the specific purpose.

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 when to use the tool (when real-time on-call status is needed) and clarifies it returns active responsibility for incident response. However, it does not explicitly mention alternatives or state when not to use it, leaving the guidance implicit rather than explicit.

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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TDQS

C2.7/5.0
Disambiguation2/5

Several tools have overlapping or unclear boundaries, notably getEntityDescriptor and listEntityDescriptors share identical descriptions, and getEntityDetails may be confused with them. This ambiguity could easily lead an agent to select the wrong tool for a catalog lookup.

Naming Consistency3/5

Most tools follow a camelCase getXxx/listXxx pattern, but there are clear exceptions like query_docs and get_more_tools that use snake_case, and the verb set includes get, list, query, and search. The mixed conventions are still readable but not fully consistent.

Tool Count2/5

With 31 tools, the surface feels oversized, especially considering the redundant descriptor tools and the meta-tool get_more_tools. The scope is broad but could benefit from splitting into separate servers for catalog, metrics, and other functions.

Completeness2/5

The tool set is almost entirely read-only (get/list/search/query) with no create, update, or delete operations, despite descriptions mentioning 'manage your service catalog'. This leaves significant lifecycle gaps and prevents full catalog management workflows.

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