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DChuhin

Yandex Tracker MCP Server

by DChuhin

validate_issue

Validates an issue against team ticket conventions and returns missing fields and violations without posting a comment.

Instructions

Checks whether one issue satisfies the team's ticket convention defined in convention.json. Returns a list of missing fields and violations. Does NOT post a comment automatically — use add_comment separately after showing the user the violations first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issue_keyYes
Behavior4/5

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

No annotations, but description clearly states it does not post comment, implying read-only. Could be more explicit about read-only nature.

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?

Two sentences, front-loaded with purpose, no wasted words.

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

Completeness5/5

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

Covers purpose, output, behavior, and next steps. Adequate for a simple validation tool with no output schema.

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?

Single simple parameter (issue_key) is self-explanatory, but description doesn't mention it despite 0% schema coverage.

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?

Clearly states it checks issue compliance with a convention, describes output. Distinguishes from siblings like add_comment.

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

Usage Guidelines5/5

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

Explicitly says not to post comment automatically, suggests using add_comment separately after showing violations.

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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