barevalue-mcp

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 effectively describes key behaviors: it handles getting a presigned S3 URL and uploading the file, returns order_id and s3_key for submission, and specifies a maximum file size of 750MB. This covers critical operational details like the two-step process and output format, though it could add more on error handling or authentication needs.

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 highly concise and front-loaded, with three sentences that each add value: stating the purpose, detailing the process, and specifying constraints. There is no wasted text, and it efficiently communicates essential information without redundancy, making it easy for an agent 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 no annotations and no output schema, the description provides good context for a file upload tool: it explains the process (S3 URL handling), output (order_id and s3_key), and constraints (file size). However, it could be more complete by mentioning authentication requirements, error scenarios, or how the output integrates with sibling tools like barevalue_submit, leaving minor gaps.

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 both parameters (file_path and filename) thoroughly. The description does not add any parameter-specific semantics beyond what the schema provides, such as explaining why filename is optional or detailing file format implications. Baseline 3 is appropriate as the schema does 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 specific action ('upload an audio file for AI podcast editing') and distinguishes it from siblings like barevalue_submit or barevalue_list_orders by focusing on file upload with S3 integration. It specifies the resource (audio file) and the purpose (AI podcast editing), making it distinct and unambiguous.

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 when uploading audio files for podcast editing, but does not explicitly state when to use this tool versus alternatives like barevalue_submit_url or barevalue_validate. It mentions the maximum file size (750MB) as a constraint, but lacks guidance on prerequisites, error conditions, or comparisons with sibling tools, leaving some ambiguity for the agent.

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