Frida 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 action ('Create a socket connection') but fails to mention critical behaviors like whether this requires specific permissions, if the connection persists, error handling, or side effects on the target process. This leaves significant gaps in understanding the tool's operational impact.

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, clear sentence that efficiently conveys the core purpose without unnecessary words. It is front-loaded with the main action and context, making it easy to parse and understand quickly, which is ideal for conciseness in tool descriptions.

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 of socket creation in a target process, no annotations, no output schema, and low schema coverage, the description is incomplete. It lacks details on behavior, parameters, return values, error cases, and integration with sibling tools, making it insufficient for safe and effective use by an AI agent in this context.

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 input schema has 0% description coverage, so the description must compensate but adds no parameter details. It doesn't explain what 'session_id', 'host', 'port', or 'type' represent, their formats, or constraints beyond the schema's enum for 'type'. This lack of semantic context makes parameter usage ambiguous for the agent.

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 ('Create a socket connection') and specifies the context ('from within the target process'), which distinguishes it from general socket creation tools. However, it doesn't explicitly differentiate from potential sibling tools like network-related operations in the Frida ecosystem, though the context of 'within the target process' provides some distinction.

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, such as other Frida tools for network operations or system-level socket creation. It lacks context about prerequisites, typical use cases, or comparisons with sibling tools, leaving the agent to infer usage based on the tool name and description alone.

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