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infoset-mcp

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infoset_get_sla_breaches

Retrieve SLA breach data for an Infoset ticket to audit service level compliance and reveal any violated commitments.

Instructions

Get SLA breach data for an Infoset ticket

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ticketIdYesTicket ID
Behavior2/5

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

With no annotations provided, the description must carry the full burden of behavioral disclosure. It only states 'Get SLA breach data,' which implies a read operation but does not mention return format, potential empty results, error conditions, or any side effects. This is minimal transparency for an unannotated tool.

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, front-loaded sentence with no wasted words. It immediately states the action and target resource, making it easy to scan.

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?

The tool is simple with one parameter and no output schema. The description covers the basic purpose but is vague about what 'SLA breach data' actually includes, which is more significant given there is no output schema to clarify return structure.

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% for the single required parameter ticketId, which already has a description ('Ticket ID'). The tool description adds no additional parameter semantics, so the baseline score of 3 applies.

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 uses a specific verb-resource pair: 'Get SLA breach data' for an 'Infoset ticket'. This clearly distinguishes the tool from sibling tools like infoset_get_ticket and infoset_list_tickets, which target different data.

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 when SLA breach data is needed for a specific ticket, but it does not provide explicit guidance on when to prefer this over siblings or any exclusions. It is a simple, implied context rather than a clear recommendation.

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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