Binalyze AIR 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. 'Update' implies a mutation operation, but the description doesn't specify whether this requires special permissions, what happens to existing data, if changes are reversible, or any rate limits/error conditions. For a tool with 10 parameters and no 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, focused sentence that states exactly what the tool does without any unnecessary words. It's front-loaded with the core purpose and wastes no space on redundant information, making it highly efficient for agent comprehension.

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 10 parameters, no annotations, and no output schema, the description is insufficient. It doesn't address behavioral aspects like authentication requirements, side effects, error handling, or what constitutes a successful update. The agent lacks crucial context needed to use this tool effectively and safely.

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 100%, with all 10 parameters clearly documented in the input schema. The description doesn't add any parameter-specific information beyond what's already in the schema (e.g., it doesn't explain relationships between parameters or provide usage examples). Baseline score of 3 is appropriate when the schema does all 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 ('Update') and resource ('an existing FTPS evidence repository'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'update_amazon_s3_repository' or 'update_sftp_repository' beyond the resource type, missing explicit distinction between different repository update operations.

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 'create_ftps_repository' or other repository update tools. There's no mention of prerequisites, constraints, or typical scenarios for updating versus creating an FTPS repository, leaving the agent without contextual usage cues.

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