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realsidg

bug_tracker_mcp

by realsidg

log_bug

Log a new bug or improvement to a project-specific store, capturing title, severity, location, and the context in which it was found.

Instructions

Log a new bug or improvement into the bug tracking store.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoEntry kind ('bug' or 'improvement'). Defaults to 'bug'.bug
tagsNoList of tag strings to categorize the bug.
titleYesShort description of the bug.
projectYesName identifying the project these bugs belong to (e.g. the repo name). Required — bugs are isolated per project, so use a consistent name for the same project across calls.
locationNoFile location or context reference (e.g. 'src/foo.py:42').
severityNoBug severity level ('minor', 'major', 'blocking'). Defaults to 'minor'.minor
descriptionNoDetailed explanation or error details.
found_whileNoContext or activity being undertaken when bug was discovered.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
kindNobug
tagsNo
titleYes
statusNoopen
projectYes
fixed_atNo
locationNo
severityNominor
created_atYes
resolutionNo
updated_atYes
descriptionNo
found_whileNo
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only says 'Log a new bug or improvement' without mentioning side effects, duplicate checks, or any prerequisites. The output schema exists but the description does not add behavioral context.

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?

A single sentence that is concise and front-loaded with the action. Every word is earned.

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 8 parameters and an output schema, the description is too minimal. It does not explain the return value (though schema does) or any context like required permissions or process quirks.

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%, so the baseline is 3. The description itself does not add any parameter semantics; all parameter meaning is in the schema.

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 'Log' and the resource 'new bug or improvement into the bug tracking store'. It is easily distinguishable from sibling tools like delete_bug, list_bugs, etc., which handle different operations.

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?

No explicit guidance on when to use this tool versus alternatives, but the sibling tool names imply this is for creation. The description lacks explicit when-to-use or when-not-to-use advice.

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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