Bitbucket MCP Server

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

No annotations are provided, so the description must fully disclose behavioral traits. It states the tool performs a write operation ('Reply'), implying mutation, but doesn't cover permissions needed, rate limits, side effects (e.g., notifications), or error handling. The mention of 'Returns: Reply details or error message' adds some context but is vague. For a mutation tool with zero annotation coverage, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and front-loaded with the core purpose, followed by parameter and return details. It uses bullet-like formatting for clarity. However, the 'Returns' section is somewhat redundant given the output schema, and some sentences could be more precise (e.g., 'optional if configured' is ambiguous).

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

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

Given the tool's complexity (mutation with 5 parameters), no annotations, and an output schema, the description is moderately complete. It covers the basic purpose and parameters but lacks behavioral details (e.g., auth, side effects) and usage context. The output schema reduces the need to explain return values, but overall completeness is adequate with clear gaps.

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

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

Schema description coverage is 0%, so the description must compensate. It lists all 5 parameters with brief explanations (e.g., 'Reply text (supports markdown)'), which adds meaning beyond the bare schema. However, it doesn't provide format details (e.g., markdown specifics), validation rules, or examples. This partially compensates but leaves gaps, warranting an average score.

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

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

The description clearly states the tool's purpose: 'Reply to a specific comment on a Pull Request.' It specifies the action (reply) and target resource (comment on a Pull Request). However, it doesn't explicitly differentiate from sibling tools like 'add_pull_request_comment' or 'add_issue_comment', which would require a 5.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to choose this over 'add_pull_request_comment' or 'add_issue_comment', nor does it specify prerequisites or exclusions. The only contextual hint is the optional workspace parameter note, which is minimal guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.