Deep Code Reasoning 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 starts a session but doesn't explain what that entails—whether it's a one-time setup, if it creates persistent resources, what permissions might be needed, or how errors are handled. For a tool with complex parameters and no annotations, this leaves significant gaps.

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, efficient sentence that front-loads the core purpose without unnecessary details. Every word earns its place, making it easy to parse quickly.

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 complexity (3 parameters with nested objects, no output schema, and no annotations), the description is incomplete. It doesn't address what the tool returns, how sessions are managed, or behavioral aspects like side effects. For a tool that likely initiates a multi-step process, more context is needed to use it effectively.

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 67%, meaning some parameters are documented in the schema. The description adds no parameter-specific information beyond the tool's purpose, so it doesn't compensate for the coverage gap. However, it implies the parameters relate to initiating analysis, which aligns with the schema. With 3 parameters and partial schema coverage, a baseline 3 is appropriate.

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 ('Start a conversational analysis session') and identifies the participants ('between Claude and Gemini'), which provides a specific verb and resource. However, it doesn't explicitly differentiate this tool from its siblings like 'continue_conversation' or 'get_conversation_status', leaving some ambiguity about when to use each.

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. With siblings like 'continue_conversation' and 'finalize_conversation', it's unclear whether this is for initial setup only or if it has specific prerequisites. No exclusions or alternatives are mentioned.

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