Binalyze AIR MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool performs a removal action, implying mutation, but fails to describe critical behaviors like whether this is reversible, what permissions are needed, if it triggers side effects (e.g., notifications), or what the response looks like. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 a single, direct sentence with zero wasted words, making it highly efficient and front-loaded. It immediately conveys the core action without unnecessary elaboration, which is ideal for quick comprehension by an AI agent.

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?

For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits (e.g., reversibility, side effects), usage context compared to siblings, and expected outcomes. While the purpose is clear, the overall context for safe and effective use is insufficient, especially given the tool's potential impact.

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 schema description coverage is 100%, with both parameters ('caseId' and 'taskAssignmentId') clearly documented in the input schema. The description adds no additional parameter semantics beyond what the schema provides, such as format examples or interdependencies. Given the high schema coverage, a baseline score of 3 is appropriate as the schema handles the heavy lifting.

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 ('Remove') and the target ('a specific task assignment from a case'), making the purpose immediately understandable. It doesn't differentiate from sibling tools like 'delete_task_assignment' or 'cancel_task_assignment', which prevents a perfect score, but the verb+resource combination is specific and unambiguous.

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 'delete_task_assignment' or 'cancel_task_assignment' from the sibling list. It also lacks information about prerequisites, such as whether the task assignment must be in a specific state or if there are permission requirements, leaving the agent with insufficient context for optimal selection.

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