popcorn_read

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions optional filtering but does not disclose return format, error behaviors, size limits, or whether the tool is read-only. 'Read' implies non-mutating, but details are lacking.

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, well-structured sentence that front-loads the core action and includes optional details. No wasted words.

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?

Despite schema coverage, the description omits return value expectations, error handling, and any specifics about how filtering affects output. With no output schema and no annotations, the agent is left guessing about the tool's full behavior, making it incomplete for a 6-parameter read operation.

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 coverage is 100%, providing baseline 3. The description adds conceptual grouping by mentioning 'line slicing' (startLine/endLine) and 'transcript time filtering' (startSec/endSec), helping agents understand the parameters' joint purpose beyond their individual schema descriptions.

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 tool's purpose: 'Read a file from an analysis bundle' with specific optional behaviors ('line slicing or transcript time filtering'). It differentiates from siblings by focusing on reading files, while siblings suggest, presets, analyze, or backend management.

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 implies usage for reading files from an analysis bundle but provides no explicit guidance on when to choose this tool over alternatives or when not to use it. The optional filtering behaviors are mentioned but not elaborated with scenarios.

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