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example_tool

Process messages efficiently within the Jira MCP Server to enable streamlined communication and issue management through natural language interactions.

Instructions

An example tool that processes messages

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNoMessage to process
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 states the tool 'processes messages' but doesn't disclose behavioral traits like whether it's read-only or destructive, permissions required, rate limits, or output format. This leaves significant gaps in understanding how the tool behaves.

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?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized for a simple tool, though it could be slightly more informative. There's no fluff, making it front-loaded and easy to parse.

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 no annotations, no output schema, and a vague description, the tool's context is incomplete. The description doesn't explain what 'processes' means, the return values, or behavioral aspects. For a tool with one parameter but unclear functionality, this leaves the agent with insufficient information to use it effectively.

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%, with the parameter 'message' documented as 'Message to process'. The description adds no additional meaning beyond this, such as format examples or processing details. With high schema coverage, the baseline score of 3 is appropriate, as the schema handles parameter documentation adequately.

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

Purpose3/5

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

The description states the tool 'processes messages', which provides a basic verb+resource combination. However, it's vague about what 'processes' entails (e.g., filtering, transforming, analyzing) and doesn't differentiate from siblings, though none exist. It avoids tautology by not merely restating the name, but lacks specificity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, such as context, prerequisites, or alternatives. The description implies usage for message processing but offers no exclusions or scenarios. With no sibling tools, differentiation isn't needed, but overall usage guidance is absent.

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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