Bitbucket MCP Server

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it states the action ('Approve'), it doesn't explain what approval means in Bitbucket's workflow (e.g., whether it's a final approval, if it affects mergeability, or if it's reversible). It also doesn't mention authentication requirements, rate limits, or error conditions beyond a generic 'error message' reference.

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 with clear sections (purpose, Args, Returns) and uses minimal sentences. However, the 'Args' and 'Returns' sections could be more integrated into the flow rather than separate bullet points, and some phrasing ('optional if configured') is slightly ambiguous, preventing a perfect score.

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 moderate complexity (approval action with 3 parameters), no annotations, and an output schema present, the description is minimally adequate. It covers the basic action and parameters but lacks details on behavioral implications, error handling, and sibling differentiation. The output schema reduces the need to explain return values, but more context is needed for safe and effective use.

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?

The description includes an 'Args' section that lists parameters with brief explanations, adding value beyond the 0% schema description coverage. However, the explanations are minimal ('Repository slug (name)', 'Pull Request ID to approve') and don't provide format examples, constraints, or how 'workspace' interacts with configuration. This partially compensates for the schema gap but leaves important details unclear.

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 action ('Approve') and resource ('a Pull Request on Bitbucket Cloud'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'unapprove_pull_request' or 'decline_pull_request', which would require more specific language about what approval entails versus those alternatives.

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 like 'decline_pull_request', 'request_changes_pull_request', or 'unapprove_pull_request'. It also doesn't mention prerequisites such as required permissions or workflow context, leaving the agent without usage context beyond the basic action.

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