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CzSadykov

jira-service-desk-mcp

by CzSadykov

answer_approval

Approve or decline approval requests in Jira Service Management by providing the issue key, approval ID, and decision.

Instructions

Approve or decline an approval request.

Args: issue_id_or_key: The issue key (e.g. "X000") or numeric issue ID. approval_id: The numeric approval ID. decision: "approve" or "decline".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issue_id_or_keyYes
approval_idYes
decisionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the action (approve/decline) but omits side effects such as whether the action is reversible, if notifications are triggered, or if any state changes beyond the approval status. This is insufficient for a mutation 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 concise with a single-sentence purpose and a structured Args list. Every sentence adds value without redundancy. It is front-loaded with the purpose.

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?

Given the simple tool (3 required parameters, no nested objects) and the presence of an output schema, the description covers the basics adequately. However, it lacks information about prerequisites (e.g., obtaining the approval ID) and does not hint at any side effects or errors, making it minimally complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description adds significant meaning for all three parameters: it specifies the format for issue_id_or_key (e.g., 'X000'), confirms approval_id is numeric, and lists the exact decision strings. This goes well beyond the schema's simple string type definitions.

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 the verb-resource pair: 'Approve or decline an approval request.' This directly distinguishes it from siblings like 'get_approval' and 'list_approvals' which are read-only.

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 Args section provides clear parameter formats (e.g., issue key, numeric approval ID, decision values) but does not explicitly state when to use this tool versus alternatives like 'get_approval' or 'list_approvals'. Usage context is implied rather than specified.

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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