serial_expect

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. It mentions waiting for patterns and sending responses, but lacks critical details: it doesn't specify if this is a read/write operation, whether it's destructive or safe, what happens on timeout (e.g., error handling), or the expected output format. The description is insufficient for a tool with complex interaction patterns and no annotation coverage.

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 brief and front-loaded with the core purpose in the first sentence, followed by an example use case. Both sentences earn their place by defining the tool and providing context. However, it could be slightly more structured by explicitly separating purpose from guidelines.

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 complexity (interactive serial communication with multiple parameters), no annotations, and no output schema, the description is incomplete. It fails to address key behavioral aspects like error handling, output format, or safety considerations, leaving significant gaps for an AI agent to understand how to invoke it correctly in various scenarios.

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%, so the schema already documents all 5 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema (e.g., it doesn't explain the structure of 'steps' or clarify 'connection_id' usage). Baseline 3 is appropriate when the schema does the heavy lifting, though the description could have added context about parameter interactions.

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 states the tool 'Wait for patterns and optionally send responses' which provides a general purpose, but it's vague about the specific resource (serial connection) and lacks clear differentiation from siblings like 'serial_wait_for' or 'serial_send'. It mentions 'Useful for login prompts and AT flows' as examples, but doesn't explicitly define the core function beyond pattern waiting and sending.

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?

No explicit guidance on when to use this tool versus alternatives like 'serial_wait_for' (for waiting only) or 'serial_send' (for sending only). The description mentions it's 'Useful for login prompts and AT flows', which implies some context but doesn't provide clear when/when-not rules or name specific alternatives. Usage is implied rather than explicitly defined.

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