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Get a case

kayako_get_case
Read-only

Fetch one case (conversation) by id: subject, requester, assignee, status, priority, type, SLA metrics, custom fields, last post preview. Use include (e.g. 'user,case_status,case_priority,team') to expand references and fields='+tags' for tags. Kayako: GET /api/v1/cases/{id}.json.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoPartial-output field rules, e.g. '+tags' to add tags to a case, or 'subject,status' to return only those.
case_idYesThe case id (integer).
includeNoComma-separated resource types to expand instead of returning {id, resource_type} references, e.g. 'user,case_status,case_priority,team', or '*' for all.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.7/5.0
Behavior3/5

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

annotations already declare readOnlyHint=true, so the safe-read profile is covered. The description adds useful context by listing the field groups the response contains and disclosing the underlying endpoint (GET /api/v1/cases/{id}.json), but says nothing about not-found behavior, permissions, or pagination.

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?

Two sentences, front-loaded with the core purpose and retrieval-by-id, followed by parameter hints and the endpoint. The middle field enumeration is dense but earns its place by previewing the return shape in the absence of an output schema.

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?

For a simple read tool with no output schema, the description compensates by previewing returned fields and the underlying endpoint, and it covers both optional parameters. Only edge-case behavior (invalid id, access denied) is unaddressed.

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 the baseline is 3. The description restates the include examples and the fields='+tags' syntax already documented in the schema, adding no new meaning such as valid resource-type values or the '*' expansion behavior.

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?

States a specific verb and resource ("Fetch one case (conversation) by id") and enumerates the returned content (subject, requester, status, SLA metrics, etc.). The phrase "one case by id" cleanly separates it from kayako_list_cases and kayako_search.

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 "by id" framing implies the tool is for single-case retrieval rather than listing, but no sibling (kayako_list_cases, kayako_search) is named and there is no when-not guidance. The only directive sentences concern parameters (include, fields), not tool selection.

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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